Prof. Dr. Alexander Mehler

Prof. Dr. Alexander Mehler

Fachbereich für Informatik und Mathematik
Goethe-Universität Frankfurt am Main
Robert-Mayer-Straße 10
Raum 403
D-60325 Frankfurt am Main
D-60054 Frankfurt am Main (use for package delivery)

Postfach / P.O. Box: 154
Tel: +49 69-798-28921
Fax: +49 69-798-28931

Office Hour Thursday, 10 – 12 AM (make a time appointment with Marion Terrell)

Follow me on ResearchGate.

 

 

ContactCVResearch InterestsPublicationsProjectsTeachingSupervisions

Alexander Mehler is professor (W3) for Computational Humanities / Text Technology at the Goethe University Frankfurt am Main, where he heads the Text Technology Lab as part of the Institute of Informatics. Beyond that, he is member of the executive committee of the LOEWE Priority Program Digital Humanities at the Goethe University.

Alexander Mehler studied Information Science and Slavic Studies at the University of Regensburg as well as Computational Linguistics and Economics / Information Systems at Trier University where he graduated in computational linguistics in 1995. From 1994 to 1998 he was project leader and head of the research and development department of the Gesellschaft für Wirtschaftsberatung und Informatik (GWI).

In November 2000 he got his PhD in computational linguistics. His thesis Text Meaning – procedural analysis and representation of structural similarities of texts was awarded a prize by the Circle of Friends of Trier University (incorporated society) in 2001. From 1998 to 2001 he worked as a scientific assistant (AT) and from 2001 to 2004 as a scientific assistant (C1) in the Department of Computational Linguistics at Trier University. In winter term 2003/2004 and 2004/2005 he was visiting professor at Karl-Franzens-University Graz, Austria. From April 2004 to August 2008 he was assistant professor (Juniorprofessor) for Text Technology at Bielefeld University. Since September 2008, Alexander Mehler has been the head of the competence center Computing in the Humanities at Goethe University. In 2009, Alexander Mehler got a call by the Faculty of Technology of the University of Bielefeld to a professorship (W2) in Text Technology/Applied Computational Linguistic, which he accepted in July 2009. In March 2010, he got a call by the Goethe-University Frankfurt am Main to a professorship (W2) in Text Technology/Applied Computational Linguistic, Institute for Informatics, which he accepted in Mai 2010. In 2009, Alexander Mehler got a call by the TU Chemnitz to a professorship (W3) in Technical Communication, and in 2013, a call by the University of Leipzig to a professorship (W3) in Computational Humanities, Institute for Informatics. Alexander Mehler is member of several scientific associations. He belongs to the executive committee of the German Society for Computational Linguistics & Language Technology where he currently heads the research group Quantitative Corpus Linguistics and is a member of the consulting board. Alexander Mehler was head of the research group Computational Semiotics of the Deutsche Gesellschaft für Semiotik. Further, he is a member of the Gesellschaft für Kognitionswissenschaft, of the Association for Computational Linguistics and of the Gesellschaft für Informatik. Since 2004, Alexander Mehler has been editor of the Journal for Language Technology and Computational Linguistics and reviewer of many scientific journals and book series in the field of computational linguistics.

Since 2005, Alexander Mehler has been project leader of the DFG-funded research project Induction of Document Grammars for the Representation of Logical Hypertext Document Structures as part of the Research Group Text Technological Information Modeling (speaker: Prof. Dr. Dieter Metzing, Bielefeld University). Together with Prof. Dr. Gerhard Heyer (Leipzig University), Alexander Mehler acquired the DFG (Deutsche ForschungsgemeinschaftGerman Research Foundation) funded research project Topic-Oriented Peer-to-Peer Agents in Digital Libraries. Further, since 2006 he has been project leader of the DFG-funded research project Multimodal Alignment Corpora: Statistical Modeling and Information Management as well as of the DFG-project Dialogue Games and Group Dynamics (together with Prof. Dr. Gerhard Jäger, Bielefeld University) as part of the Collaborative Research Center (CRC) 673 Alignment in Communication (speaker: Prof. Dr. Gert Rickheit, Bielefeld University). Since 2006, Alexander Mehler has been member of the executive committee of the CRC 673. Further, he organized and presented the linguistics part of the Excellence Cluster (EC) 277 Cognitive Interaction Technology (speaker: Prof. Dr. Helge Ritter, Bielefeld University) to the reviewers of the DFG. In the framework of this cluster of excellence, Alexander Mehler acquired the research project Knowledge Enhanced Embodied Cognitive Interaction Technologies (KnowCITs) together with Prof. Dr. Ipke Wachsmuth (Bielefeld University) in 2008. Beyond that, Alexander Mehler acquired (as the coordinator and principal investigator) the BMBF (Bundesministerium für Bildung und Forschung (BMBF) – Federal Ministry of Education and Research) joint research project Linguistic Networks – Text Technological Representation, Computational Linguistic Synthesis and Physical Modeling in the framework of the BMBF-Priority Research Program New Natural Scientific Methods and Technologies in the Humanities. Alexander Mehler acquired the DFG-research project Automatic Enrichment of OAI Metadata by Computational Linguistic Methods and Development of Services for the Topic-Related Networking of Repositories in the framework of the DFG-priority program Electronic Publications – Buildup and Networking of Repositories (in collaboration with Dr. Michael Höppner, University Library Bielefeld, and Prof. Dr. Gerhard Heyer, Leipzig University). Further, Alexander Mehler contributed as a principal investigator to the acquisition of the LOEWE-center Digital Humanities (Speaker: Prof. Dr. Jost Gippert) where he belongs to the executive committee and represents the area of computational humanities. In this multidisciplinary research project, Alexander Mehler investigates and develops algorithms for the automatic analysis of historical documents. Recently, he acquired the BMBF-research project Historical Semantic Spaces as part of the BMBF-Priority Research Program Digital Humanities, in which he cooperates with historians (Prof. Dr. Bernhard Jussen) and philologists (Prof. Dr. Barbara Job, Bielefeld university; Prof. Dr. Peter Koch, Eberhard-Karls-Universität Tübingen; Prof. Dr. Maria Selig, Universität Regensburg) to explore the laws of social-semantic change.

These research projects document the theoretical and practical research activities of Alexander Mehler. They range from text and web mining to alignment in communication, social ontologies and their utilization by means of cognitive interaction technologies. The common ground of this research is the computational integration of content and structure modeling of semiotic aggregates and their networking in terms of complex networks.

Alexander Mehler’s research interests focus on the empirical analysis and simulative synthesis of discourse units in spoken and written communication. He aims at a quantitative theory of networking in linguistic systems to enable multi-agent simulations of their life cycle. Alexander Mehler integrates models of semantic spaces with simulation models of language evolution and topological models of network theory to capture the complexity of linguistic information systems. Currently, he is heading several research projects on the analysis of linguistic networks in historical semantics. Most recently he started a research project on kinetic text-technologies that integrates the paradigm of games with a purpose with the wiki way of collaborative writing and kinetic HCI. His research interests include but are not limited to the following topics:

  • computational humanities
  • complex linguistic networks
  • quantitative semantics
  • alignment in communication
  • kinetic text-technologies
  • text & web mining

Total: 218

2018 (25)

  • E. Rutherford, W. Hemati, and A. Mehler, “Corpus2Wiki: A MediaWiki based Annotation & Visualisation Tool for the Digital Humanities,” in INF-DH-2018, Bonn, 2018. accepted
    [BibTeX]

    @inproceedings{Rutherford:Hemati:Mehler:2018,
    author = {Rutherford, Eleanor and Hemati, Wahed and Mehler, Alexander},
    title = {{Corpus2Wiki}: A MediaWiki based Annotation & Visualisation Tool for the Digital Humanities},
    booktitle = {INF-DH-2018},
    year = {2018},
    note = {accepted},
    editor = {Burghardt, Manuel AND Müller-Birn, Claudia},
    publisher = {Gesellschaft für Informatik e.V.},
    address = {Bonn}
    }
  • G. Abrami, A. Mehler, P. Helfrich, and E. Rieb, “TextAnnotator: A Browser-based Framework for Annotating Textual Data in Digital Humanities,” in Proceedings of the Digital Humanities Austria 2018, 2018. accepted
    [BibTeX]

    @InProceedings{Abrami:et:al:2018,
    Author = {Giuseppe Abrami and Alexander Mehler and Philipp Helfrich and Elias Rieb},
    Title = {{TextAnnotator}: A Browser-based Framework for Annotating Textual Data in Digital Humanities},
    BookTitle = {Proceedings of the Digital Humanities Austria 2018},
    Note = {accepted},
    location = {Salzburg, Austria},
    year = 2018
    }
  • [PDF] S. Ahmed and A. Mehler, “Resource-Size matters: Improving Neural Named Entity Recognition with Optimized Large Corpora,” in Proceedings of the 17th IEEE International Conference on Machine Learning and Applications (ICMLA), 2018. accepted
    [BibTeX]

    @InProceedings{Ahmed:Mehler:2018,
    author = {Sajawel Ahmed and Alexander Mehler},
    title = {{Resource-Size matters: Improving Neural Named Entity Recognition with Optimized Large Corpora}},
    booktitle = {Proceedings of the 17th IEEE International Conference on Machine Learning and Applications (ICMLA)},
    note = {accepted},
    location = {Orlando, Florida, USA},
    pdf = {https://arxiv.org/pdf/1807.10675.pdf},
    year = 2018
    }
  • C. Weiland, C. Driller, M. Koch, M. Schmidt, G. Abrami, S. Ahmed, A. Mehler, A. Pachzelt, G. Kasperek, A. Hausinger, and T. Hörnschemeyer, “BioFID, a platform to enhance accessibility of biodiversity data,” in Proceedings of the 10th International Conference on Ecological Informatics, 2018. accepted
    [BibTeX]

    @inproceedings{Weiland:et:al:2018,
            author = {Claus Weiland and Christine Driller and Markus Koch and Marco Schmidt and Giuseppe Abrami and Sajawel Ahmed and Alexander Mehler and Adrian Pachzelt and Gerwin Kasperek and Angela Hausinger and Thomas Hörnschemeyer},
            title = {{BioFID}, a platform to enhance accessibility of biodiversity data},
      BookTitle = {Proceedings of the 10th International Conference on Ecological Informatics},
            year = {2018},
      location = {Jena, Germany},
      Note = {accepted}
    }
  • A. Kett, G. Abrami, A. Mehler, and C. Spiekermann, “Resources2City Explorer: A System for Generating Interactive Walkable Virtual Cities out of File Systems,” in Proceedings of the 31st ACM User Interface Software and Technology Symposium, 2018. accepted
    [Abstract] [Poster][BibTeX]

    We present Resources2City Explorer (R2CE), a tool for representing file systems as interactive, walkable virtual cities. R2CE visualizes file systems based on concepts of spatial, 3D information processing. For this purpose, it extends the range of functions of conventional file browsers considerably. Visual elements in a city generated by R2CE represent (relations of) objects of the underlying file system. The paper describes the functional spectrum of R2CE and illustrates it by visualizing a sample of 940 files.
    @InProceedings{Kett:et:al:2018,
      Author = {Attila Kett and Giuseppe Abrami and Alexander Mehler and Christian Spiekermann},
      Title = {{Resources2City Explorer}: A System for Generating Interactive Walkable Virtual Cities out of File Systems},
      BookTitle = {Proceedings of the 31st ACM User Interface Software and Technology Symposium},
      Note = {accepted},
            poster = {https://www.texttechnologylab.org/wp-content/uploads/2018/10/UIST2018Final.pdf},
      location = {Berlin, Germany},
      abstract = {We present Resources2City Explorer (R2CE), a tool for representing file systems as interactive, walkable virtual cities. R2CE visualizes file systems based on concepts of spatial, 3D information processing. For this purpose, it extends the range of functions of conventional file browsers considerably. Visual elements in a city generated by R2CE represent (relations of) objects of the underlying file system. The paper describes the functional spectrum of R2CE and illustrates it by visualizing a sample of 940 files.},
      year = 2018
    }
  • [PDF] T. Uslu and A. Mehler, “PolyViz: a Visualization System for a Special Kind of Multipartite Graphs,” in Proceedings of the IEEE VIS 2018, 2018. accepted
    [BibTeX]

    @InProceedings{Uslu:Mehler:2018,
    Author = {Tolga Uslu and Alexander Mehler},
    Title = {{PolyViz}: a Visualization System for a Special Kind of Multipartite Graphs},
    BookTitle = {Proceedings of the IEEE VIS 2018},
    Series = {IEEE VIS 2018},
    Note = {accepted},
    location = {Berlin, Germany},
    pdf = {https://www.texttechnologylab.org/wp-content/uploads/2018/07/polyviz-visualization-system.pdf},
    year = 2018
    }
  • [PDF] D. Baumartz, T. Uslu, and A. Mehler, “LTV: Labeled Topic Vector,” in Proceedings of COLING 2018, the 27th International Conference on Computational Linguistics: System Demonstrations, August 20-26, Santa Fe, New Mexico, USA, 2018.
    [Abstract] [BibTeX]

    In this paper, we present LTV, a website and an API that generate labeled topic classifications based on the Dewey Decimal Classification (DDC), an international standard for topic classification in libraries. We introduce nnDDC, a largely language-independent neural network-based classifier for DDC-related topic classification, which we optimized using a wide range of linguistic features to achieve an F-score of 87.4%. To show that our approach is language-independent, we evaluate nnDDC using up to 40 different languages. We derive a topic model based on nnDDC, which generates probability distributions over semantic units for any input on sense-, word- and text-level. Unlike related approaches, however, these probabilities are estimated by means of nnDDC so that each dimension of the resulting vector representation is uniquely labeled by a DDC class. In this way, we introduce a neural network-based Classifier-Induced Semantic Space (nnCISS).
    @InProceedings{Baumartz:Uslu:Mehler:2018,
        author    = {Daniel Baumartz and Tolga Uslu and Alexander Mehler},
        title     = {{LTV}: Labeled Topic Vector},
        booktitle = {Proceedings of {COLING 2018}, the 27th International Conference on Computational Linguistics: System Demonstrations, August 20-26},
        year      = {2018},
        address   = {Santa Fe, New Mexico, USA},
        publisher = {The COLING 2018 Organizing Committee},
        abstract  = {In this paper, we present LTV, a website and an API that generate labeled topic classifications based on the Dewey Decimal Classification (DDC), an international standard for topic classification in libraries. We introduce nnDDC, a largely language-independent neural network-based classifier for DDC-related topic classification, which we optimized using a wide range of linguistic features to achieve an F-score of 87.4%. To show that our approach is language-independent, we evaluate nnDDC using up to 40 different languages. We derive a topic model based on nnDDC, which generates probability distributions over semantic units for any input on sense-, word- and text-level. Unlike related approaches, however, these probabilities are estimated by means of nnDDC so that each dimension of the resulting vector representation is uniquely labeled by a DDC class. In this way, we introduce a neural network-based Classifier-Induced Semantic Space (nnCISS).},
        pdf = {https://www.texttechnologylab.org/wp-content/uploads/2018/06/coling2018.pdf}
    }
  • [https://doi.org/10.3897/biss.2.25876] [DOI] C. Driller, M. Koch, M. Schmidt, C. Weiland, T. Hörnschemeyer, T. Hickler, G. Abrami, S. Ahmed, R. Gleim, W. Hemati, T. Uslu, A. Mehler, A. Pachzelt, J. Rexhepi, T. Risse, J. Schuster, G. Kasperek, and A. Hausinger, “Workflow and Current Achievements of BIOfid, an Information Service Mobilizing Biodiversity Data from Literature Sources,” Biodiversity Information Science and Standards, vol. 2, p. e25876, 2018.
    [Abstract] [BibTeX]

    BIOfid is a specialized information service currently being developed to mobilize biodiversity data dormant in printed historical and modern literature and to offer a platform for open access journals on the science of biodiversity. Our team of librarians, computer scientists and biologists produce high-quality text digitizations, develop new text-mining tools and generate detailed ontologies enabling semantic text analysis and semantic search by means of user-specific queries. In a pilot project we focus on German publications on the distribution and ecology of vascular plants, birds, moths and butterflies extending back to the Linnaeus period about 250 years ago. The three organism groups have been selected according to current demands of the relevant research community in Germany. The text corpus defined for this purpose comprises over 400 volumes with more than 100,000 pages to be digitized and will be complemented by journals from other digitization projects, copyright-free and project-related literature. With TextImager (Natural Language Processing & Text Visualization) and TextAnnotator (Discourse Semantic Annotation) we have already extended and launched tools that focus on the text-analytical section of our project. Furthermore, taxonomic and anatomical ontologies elaborated by us for the taxa prioritized by the project’s target group - German institutions and scientists active in biodiversity research - are constantly improved and expanded to maximize scientific data output. Our poster describes the general workflow of our project ranging from literature acquisition via software development, to data availability on the BIOfid web portal (http://biofid.de/), and the implementation into existing platforms which serve to promote global accessibility of biodiversity data.
    @article{Driller:et:al:2018,
            author = {Christine Driller and Markus Koch and Marco Schmidt and Claus Weiland and Thomas Hörnschemeyer and Thomas Hickler and Giuseppe Abrami and Sajawel Ahmed and Rüdiger Gleim and Wahed Hemati and Tolga Uslu and Alexander Mehler and Adrian Pachzelt and Jashar Rexhepi and Thomas Risse and Janina Schuster and Gerwin Kasperek and Angela Hausinger},
            title = {Workflow and Current Achievements of BIOfid, an Information Service Mobilizing Biodiversity Data from Literature Sources},
            volume = {2},
            number = {},
            year = {2018},
            doi = {10.3897/biss.2.25876},
            publisher = {Pensoft Publishers},
            abstract = {BIOfid is a specialized information service currently being developed to mobilize biodiversity data dormant in printed historical and modern literature and to offer a platform for open access journals on the science of biodiversity. Our team of librarians, computer scientists and biologists produce high-quality text digitizations, develop new text-mining tools and generate detailed ontologies enabling semantic text analysis and semantic search by means of user-specific queries. In a pilot project we focus on German publications on the distribution and ecology of vascular plants, birds, moths and butterflies extending back to the Linnaeus period about 250 years ago. The three organism groups have been selected according to current demands of the relevant research community in Germany. The text corpus defined for this purpose comprises over 400 volumes with more than 100,000 pages to be digitized and will be complemented by journals from other digitization projects, copyright-free and project-related literature. With TextImager (Natural Language Processing & Text Visualization) and TextAnnotator (Discourse Semantic Annotation) we have already extended and launched tools that focus on the text-analytical section of our project. Furthermore, taxonomic and anatomical ontologies elaborated by us for the taxa prioritized by the project’s target group - German institutions and scientists active in biodiversity research - are constantly improved and expanded to maximize scientific data output. Our poster describes the general workflow of our project ranging from literature acquisition via software development, to data availability on the BIOfid web portal (http://biofid.de/), and the implementation into existing platforms which serve to promote global accessibility of biodiversity data.},
            issn = {},
            pages = {e25876},
            URL = {https://doi.org/10.3897/biss.2.25876},
            eprint = {https://doi.org/10.3897/biss.2.25876},
            journal = {Biodiversity Information Science and Standards}
    }
  • [PDF] A. Mehler, G. Abrami, C. Spiekermann, and M. Jostock, “VAnnotatoR: A Framework for Generating Multimodal Hypertexts,” in Proceedings of the 29th ACM Conference on Hypertext and Social Media, New York, NY, USA, 2018.
    [BibTeX]

    @InProceedings{Mehler:Abrami:Spiekermann:Jostock:2018,
        author = {Mehler, Alexander and Abrami, Giuseppe and Spiekermann, Christian and Jostock, Matthias},
        title = {{VAnnotatoR}: {A} Framework for Generating Multimodal Hypertexts},
        booktitle = {Proceedings of the 29th ACM Conference on Hypertext and Social Media},
        series = {Proceedings of the 29th ACM Conference on Hypertext and Social Media (HT '18)},
        year = {2018},
        location = {Baltimore, Maryland},
        publisher = {ACM},
        address = {New York, NY, USA},
        pdf = {http://delivery.acm.org/10.1145/3210000/3209572/p150-mehler.pdf}
    }
  • [PDF] W. Hemati, A. Mehler, T. Uslu, D. Baumartz, and G. Abrami, “Evaluating and Integrating Databases in the Area of NLP,” in International Quantitative Linguistics Conference (QUALICO 2018), 2018.
    [Poster][BibTeX]

    @inproceedings{Hemati:Mehler:Uslu:Baumartz:Abrami:2018,
        author={Wahed Hemati and Alexander Mehler and Tolga Uslu and Daniel Baumartz and Giuseppe Abrami},
        title={Evaluating and Integrating Databases in the Area of {NLP}},
        booktitle={International Quantitative Linguistics Conference (QUALICO 2018)},
        year={2018},
        pdf={https://www.texttechnologylab.org/wp-content/uploads/2018/04/Hemat-Mehler-Uslu-Baumartz-Abrami-Qualico-2018.pdf},
        poster={https://www.texttechnologylab.org/wp-content/uploads/2018/10/qualico2018_databases_poster_hemati_mehler_uslu_baumartz_abrami.pdf},
        location={Wroclaw, Poland}
    }
  • A. Mehler, W. Hemati, R. Gleim, and D. Baumartz, “VienNA: Auf dem Weg zu einer Infrastruktur für die verteilte interaktive evolutionäre Verarbeitung natürlicher Sprache,” in Forschungsinfrastrukturen und digitale Informationssysteme in der germanistischen Sprachwissenschaft , H. Lobin, R. Schneider, and A. Witt, Eds., Berlin: De Gruyter, 2018, vol. 6.
    [BibTeX]

    @InCollection{Mehler:Hemati:Gleim:Baumartz:2018,
      Author         = {Alexander Mehler and Wahed Hemati and Rüdiger Gleim
                       and Daniel Baumartz},
      Title          = {{VienNA: }{Auf dem Weg zu einer Infrastruktur für die verteilte
                       interaktive evolutionäre Verarbeitung natürlicher
                       Sprache}},
      BookTitle      = {Forschungsinfrastrukturen und digitale
                       Informationssysteme in der germanistischen
                       Sprachwissenschaft },
      Publisher      = {De Gruyter},
      Editor         = {Henning Lobin and Roman Schneider and Andreas Witt},
      Volume         = {6},
      Address        = {Berlin},
      year           = 2018
    }
  • A. Mehler, W. Hemati, T. Uslu, and A. Lücking, “A Multidimensional Model of Syntactic Dependency Trees for Authorship Attribution,” in Quantitative analysis of dependency structures, J. Jiang and H. Liu, Eds., Berlin/New York: De Gruyter, 2018.
    [Abstract] [BibTeX]

    Abstract: In this chapter we introduce a multidimensional model of syntactic dependency trees. Our ultimate goal is to generate fingerprints of such trees to predict the author of the underlying sentences. The chapter makes a first attempt to create such fingerprints for sentence categorization via the detour of text categorization. We show that at text level, aggregated dependency structures actually provide information about authorship. At the same time, we show that this does not hold for topic detection. We evaluate our model using a quarter of a million sentences collected in two corpora: the first is sampled from literary texts, the second from Wikipedia articles. As a second finding of our approach, we show that quantitative models of dependency structure do not yet allow for detecting syntactic alignment in written communication. We conclude that this is mainly due to effects of lexical alignment on syntactic alignment.
    @InCollection{Mehler:Hemati:Uslu:Luecking:2018,
      Author         = {Alexander Mehler and Wahed Hemati and Tolga Uslu and
                       Andy Lücking},
      Title          = {A Multidimensional Model of Syntactic Dependency Trees
                       for Authorship Attribution},
      BookTitle      = {Quantitative analysis of dependency structures},
      Publisher      = {De Gruyter},
      Editor         = {Jingyang Jiang and Haitao Liu},
      Address        = {Berlin/New York},
      abstract       = {Abstract: In this chapter we introduce a
    multidimensional model of syntactic dependency trees.
    Our ultimate goal is to generate fingerprints of such
    trees to predict the author of the underlying
    sentences. The chapter makes a first attempt to create
    such fingerprints for sentence categorization via the
    detour of text categorization. We show that at text
    level, aggregated dependency structures actually
    provide information about authorship. At the same time,
    we show that this does not hold for topic detection. We
    evaluate our model using a quarter of a million
    sentences collected in two corpora: the first is
    sampled from literary texts, the second from Wikipedia
    articles. As a second finding of our approach, we show
    that quantitative models of dependency structure do not
    yet allow for detecting syntactic alignment in written
    communication. We conclude that this is mainly due to
    effects of lexical alignment on syntactic alignment.},
      keywords       = {Dependency structure, Authorship attribution, Text
                       categorization, Syntactic Alignment},
      year           = 2018
    }
  • [PDF] T. Uslu, A. Mehler, and D. Meyer, “LitViz: Visualizing Literary Data by Means of text2voronoi,” in Proceedings of the Digital Humanities 2018, 2018.
    [BibTeX]

    @InProceedings{Uslu:Mehler:Meyer:2018,
      Author         = {Tolga Uslu and Alexander Mehler and Dirk Meyer},
      Title          = {{{LitViz}: Visualizing Literary Data by Means of
                       text2voronoi}},
      BookTitle      = {Proceedings of the Digital Humanities 2018},
      Series         = {DH2018},
      location       = {Mexico City, Mexico},
      pdf            = {https://www.texttechnologylab.org/wp-content/uploads/2018/03/LitViz.pdf},
      year           = 2018
    }
  • [PDF] C. Spiekermann, G. Abrami, and A. Mehler, “VAnnotatoR: a Gesture-driven Annotation Framework for Linguistic and Multimodal Annotation,” in Proceedings of the Annotation, Recognition and Evaluation of Actions (AREA 2018) Workshop, 2018.
    [BibTeX]

    @InProceedings{Spiekerman:Abrami:Mehler:2018,
      Author         = {Christian Spiekermann and Giuseppe Abrami and
                       Alexander Mehler},
      Title          = {{VAnnotatoR}: a Gesture-driven Annotation Framework
                       for Linguistic and Multimodal Annotation},
      BookTitle      = {Proceedings of the Annotation, Recognition and
                       Evaluation of Actions (AREA 2018) Workshop},
      Series         = {AREA},
      location       = {Miyazaki, Japan},
      pdf            = {https://www.texttechnologylab.org/wp-content/uploads/2018/03/VAnnotatoR.pdf},
      year           = 2018
    }
  • T. Uslu, L. Miebach, S. Wolfsgruber, M. Wagner, K. Fließbach, R. Gleim, W. Hemati, A. Henlein, and A. Mehler, “Automatic Classification in Memory Clinic Patients and in Depressive Patients,” in Proceedings of Resources and ProcessIng of linguistic, para-linguistic and extra-linguistic Data from people with various forms of cognitive/psychiatric impairments (RaPID-2), 2018.
    [BibTeX]

    @InProceedings{Uslu:et:al:2018:a,
      Author         = {Tolga Uslu and Lisa Miebach and Steffen Wolfsgruber
                       and Michael Wagner and Klaus Fließbach and Rüdiger
                       Gleim and Wahed Hemati and Alexander Henlein and
                       Alexander Mehler},
      Title          = {{Automatic Classification in Memory Clinic Patients
                       and in Depressive Patients}},
      BookTitle      = {Proceedings of Resources and ProcessIng of linguistic,
                       para-linguistic and extra-linguistic Data from people
                       with various forms of cognitive/psychiatric impairments
                       (RaPID-2)},
      Series         = {RaPID},
      location       = {Miyazaki, Japan},
      year           = 2018
    }
  • [PDF] A. Mehler, R. Gleim, A. Lücking, T. Uslu, and C. Stegbauer, “On the Self-similarity of Wikipedia Talks: a Combined Discourse-analytical and Quantitative Approach,” Glottometrics, vol. 40, pp. 1-44, 2018.
    [BibTeX]

    @Article{Mehler:Gleim:Luecking:Uslu:Stegbauer:2018,
      Author         = {Alexander Mehler and Rüdiger Gleim and Andy Lücking
                       and Tolga Uslu and Christian Stegbauer},
      Title          = {On the Self-similarity of {Wikipedia} Talks: a
                       Combined Discourse-analytical and Quantitative Approach},
      Journal        = {Glottometrics},
      Volume         = {40},
      Pages          = {1-44},
      pdf            = {https://www.texttechnologylab.org/wp-content/uploads/2018/03/Glottometrics-Mehler.pdf},
      year           = 2018
    }
  • C. Stegbauer and A. Mehler, “Ursachen der Entstehung von ubiquitären Zentrum-Peripheriestrukturen und ihre Folgen,” Soziale Welt — Zeitschrift für sozialwissenschaftliche Forschung und Praxis (SozW), 2018.
    [BibTeX]

    @Article{Stegbauer:Mehler:2018,
      Author         = {Christian Stegbauer and Alexander Mehler},
      Title          = {Ursachen der Entstehung von ubiquitären
                       Zentrum-Peripheriestrukturen und ihre Folgen},
      Journal        = {Soziale Welt -- Zeitschrift für
                       sozialwissenschaftliche Forschung und Praxis (SozW)},
      year           = 2018
    }
  • [PDF] T. Uslu, A. Mehler, A. Niekler, and D. Baumartz, “Towards a DDC-based Topic Network Model of Wikipedia,” in Proceedings of 2nd International Workshop on Modeling, Analysis, and Management of Social Networks and their Applications (SOCNET 2018), February 28, 2018, 2018.
    [BibTeX]

    @InProceedings{Uslu:Mehler:Niekler:Baumartz:2018,
      Author         = {Tolga Uslu and Alexander Mehler and Andreas Niekler
                       and Daniel Baumartz},
      Title          = {Towards a {DDC}-based Topic Network Model of Wikipedia},
      BookTitle      = {Proceedings of 2nd International Workshop on Modeling,
                       Analysis, and Management of Social Networks and their
                       Applications (SOCNET 2018), February 28, 2018},
      pdf            = {https://www.texttechnologylab.org/wp-content/uploads/2018/03/TowardsDDC.pdf},
      year           = 2018
    }
  • [PDF] T. Uslu, A. Mehler, D. Baumartz, A. Henlein, and W. Hemati, “fastSense: An Efficient Word Sense Disambiguation Classifier,” in Proceedings of the 11th edition of the Language Resources and Evaluation Conference, May 7 – 12, Miyazaki, Japan, 2018.
    [BibTeX]

    @InProceedings{Uslu:et:al:2018,
      Author         = {Tolga Uslu and Alexander Mehler and Daniel Baumartz
                       and Alexander Henlein and Wahed Hemati },
      Title          = {fastSense: An Efficient Word Sense Disambiguation
                       Classifier},
      BookTitle      = {Proceedings of the 11th edition of the Language
                       Resources and Evaluation Conference, May 7 - 12},
      Series         = {LREC 2018},
      Address        = {Miyazaki, Japan},
      pdf            = {https://www.texttechnologylab.org/wp-content/uploads/2018/03/fastSense.pdf},
      year           = 2018
    }
  • [PDF] R. Gleim, A. Mehler, and S. Y. Song, “WikiDragon: A Java Framework For Diachronic Content And Network Analysis Of MediaWikis,” in Proceedings of the 11th edition of the Language Resources and Evaluation Conference, May 7 – 12, Miyazaki, Japan, 2018.
    [BibTeX]

    @InProceedings{Gleim:Mehler:Song:2018,
      Author         = {R{\"u}diger Gleim and Alexander Mehler and Sung Y.
                       Song},
      Title          = {WikiDragon: A Java Framework For Diachronic Content
                       And Network Analysis Of MediaWikis},
      BookTitle      = {Proceedings of the 11th edition of the Language
                       Resources and Evaluation Conference, May 7 - 12},
      Series         = {LREC 2018},
      Address        = {Miyazaki, Japan},
      pdf            = {https://www.texttechnologylab.org/wp-content/uploads/2018/03/WikiDragon.pdf},
      year           = 2018
    }
  • [PDF] P. Helfrich, E. Rieb, G. Abrami, A. Lücking, and A. Mehler, “TreeAnnotator: Versatile Visual Annotation of Hierarchical Text Relations,” in Proceedings of the 11th edition of the Language Resources and Evaluation Conference, May 7 – 12, Miyazaki, Japan, 2018.
    [BibTeX]

    @InProceedings{Helfrich:et:al:2018,
      Author         = {Philipp Helfrich and Elias Rieb and Giuseppe Abrami
                       and Andy L{\"u}cking and Alexander Mehler},
      Title          = {TreeAnnotator: Versatile Visual Annotation of
                       Hierarchical Text Relations},
      BookTitle      = {Proceedings of the 11th edition of the Language
                       Resources and Evaluation Conference, May 7 - 12},
      Series         = {LREC 2018},
      Address        = {Miyazaki, Japan},
      pdf            = {https://www.texttechnologylab.org/wp-content/uploads/2018/03/TreeAnnotator.pdf},
      year           = 2018
    }
  • [PDF] G. Abrami and A. Mehler, “A UIMA Database Interface for Managing NLP-related Text Annotations,” in Proceedings of the 11th edition of the Language Resources and Evaluation Conference, May 7 – 12, Miyazaki, Japan, 2018.
    [BibTeX]

    @InProceedings{Abrami:Mehler:2018,
      Author         = {Giuseppe Abrami and Alexander Mehler},
      Title          = {A UIMA Database Interface for Managing NLP-related
                       Text Annotations},
      BookTitle      = {Proceedings of the 11th edition of the Language
                       Resources and Evaluation Conference, May 7 - 12},
      Series         = {LREC 2018},
      Address        = {Miyazaki, Japan},
      pdf            = {https://www.texttechnologylab.org/wp-content/uploads/2018/03/UIMA-DI.pdf},
      year           = 2018
    }
  • [PDF] A. Mehler, C. Stegbauer, and B. Frank-Job, “Ferdinand de Saussure. 1916. Cours de linguistique générale. Payot, Lausanne/Paris,” in Schlüsselwerke der Netzwerkforschung, C. Stegbauer and B. Holzer, Eds., Wiesbaden: Springer VS, 2018.
    [BibTeX]

    @InBook{Mehler:Stegbauer:Frank-Job:2018,
      Author         = {Alexander Mehler and Christian Stegbauer and Barbara
                       Frank-Job},
      Editor         = {Christian Stegbauer and Boris Holzer},
      Title          = {{Ferdinand de Saussure. 1916. Cours de linguistique
                       générale. Payot, Lausanne/Paris}},
      Publisher      = {Springer VS},
      Address        = {Wiesbaden},
      booktitle      = {Schlüsselwerke der Netzwerkforschung},
      pdf            = {https://www.texttechnologylab.org/wp-content/uploads/2017/11/Saussure2.pdf},
      year           = 2018
    }
  • G. Abrami, S. Ahmed, R. Gleim, W. Hemati, A. Mehler, and U. Tolga, Natural Language Processing and Text Mining for BIOfid, 2018.
    [BibTeX]

    @misc{Abrami:et:al:2018b,
     author = {Abrami, Giuseppe and Ahmed, Sajawel and Gleim, R{\"u}diger and Hemati, Wahed and Mehler, Alexander and Uslu Tolga},
     title = {{Natural Language Processing and Text Mining for BIOfid}},
     howpublished = {Presentation at the 1st Meeting of the Scientific Advisory Board of the BIOfid Project},
     adress = {Goethe-University, Frankfurt am Main, Germany},
     year = {2018},
     month = {March},
     day = {08},
     pdf = {}
    }
  • [https://www.youtube.com/watch?v=BBUg8mHT0iI] G. A. Christian Spiekermann and A. Mehler, Video of VAnnotatoR Demonstration: A framework for generating multimodal hypertexts and for linguistic and multimodal annotation., 2018. Watch on Youtube https://www.youtube.com/watch?v=BBUg8mHT0iI; downloaded on 29.08.2018
    [BibTeX]

    @misc{Spiekermann:Abrami:Mehler:2018:Y,
          author = "Christian Spiekermann, Giuseppe Abrami and Alexander Mehler",
          title = "Video of VAnnotatoR Demonstration: A framework for generating multimodal hypertexts and for linguistic and multimodal annotation.",
          year = "2018",
          howpublished = "Youtube",
          note = "Watch on Youtube https://www.youtube.com/watch?v=BBUg8mHT0iI; downloaded on 29.08.2018",
          url = {https://www.youtube.com/watch?v=BBUg8mHT0iI}
    }

2017 (7)

  • [PDF] A. Mehler and A. Lücking, “Modelle sozialer Netzwerke und Natural Language Processing: eine methodologische Randnotiz,” Soziologie, vol. 46, iss. 1, pp. 43-47, 2017.
    [BibTeX]

    @Article{Mehler:Luecking:2017,
      Author         = {Alexander Mehler and Andy Lücking},
      Title          = {Modelle sozialer Netzwerke und Natural Language
                       Processing: eine methodologische Randnotiz},
      Journal        = {Soziologie},
      Volume         = {46},
      Number         = {1},
      Pages          = {43-47},
      pdf            = {https://www.texttechnologylab.org/wp-content/uploads/2018/03/Soziologe-NetzwerkeundNLP.pdf},
      year           = 2017
    }
  • [PDF] W. Hemati, A. Mehler, and T. Uslu, “CRFVoter: Chemical Entity Mention, Gene and Protein Related Object recognition using a conglomerate of CRF based tools,” in BioCreative V.5. Proceedings, 2017.
    [BibTeX]

    @InProceedings{Hemati:Mehler:Uslu:2017,
      Author         = {Wahed Hemati and Alexander Mehler and Tolga Uslu},
      Title          = {{CRFVoter}: Chemical Entity Mention, Gene and Protein
                       Related Object recognition using a conglomerate of CRF
                       based tools},
      BookTitle      = {BioCreative V.5. Proceedings},
      pdf            = {https://www.texttechnologylab.org/wp-content/uploads/2018/03/CRFVoter.pdf},
      year           = 2017
    }
  • [PDF] W. Hemati, T. Uslu, and A. Mehler, “TextImager as an interface to BeCalm,” in BioCreative V.5. Proceedings, 2017.
    [BibTeX]

    @InProceedings{Hemati:Uslu:Mehler:2017,
      Author         = {Wahed Hemati and Tolga Uslu and Alexander Mehler},
      Title          = {{TextImager} as an interface to {BeCalm}},
      BookTitle      = {BioCreative V.5. Proceedings},
      pdf            = {https://www.texttechnologylab.org/wp-content/uploads/2018/03/TextImager_BeCalm.pdf},
      year           = 2017
    }
  • [http://doi.acm.org/10.1145/3078714.3078748] [DOI] A. Mehler, G. Abrami, S. Bruendel, L. Felder, T. Ostertag, and C. Spiekermann, “Stolperwege: An App for a Digital Public History of the Holocaust,” in Proceedings of the 28th ACM Conference on Hypertext and Social Media, New York, NY, USA, 2017, pp. 319-320.
    [Abstract] [Poster][BibTeX]

    We present the Stolperwege app, a web-based framework for ubiquitous modeling of historical processes. Starting from the art project Stolpersteine of Gunter Demnig, it allows for virtually connecting these stumbling blocks with information about the biographies of victims of Nazism. According to the practice of public history, the aim of Stolperwege is to deepen public knowledge of the Holocaust in the context of our everyday environment. Stolperwege uses an information model that allows for modeling social networks of agents starting from information about portions of their life. The paper exemplifies how Stolperwege is informationally enriched by means of historical maps and 3D animations of (historical) buildings.
    @InProceedings{Mehler:et:al:2017:a,
      Author         = {Alexander Mehler and Giuseppe Abrami and Steffen
                       Bruendel and Lisa Felder and Thomas Ostertag and
                       Christian Spiekermann},
      Title          = {{Stolperwege:} An App for a Digital Public History of
                       the {Holocaust}},
      BookTitle      = {Proceedings of the 28th ACM Conference on Hypertext
                       and Social Media},
      Series         = {HT '17},
      Pages          = {319--320},
      Address        = {New York, NY, USA},
      Publisher      = {ACM},
      abstract       = {We present the Stolperwege app, a web-based framework
    for ubiquitous modeling of historical processes.
    Starting from the art project Stolpersteine of
    Gunter Demnig, it allows for virtually connecting these
    stumbling blocks with information about the biographies
    of victims of Nazism. According to the practice of
    public history, the aim of Stolperwege is to
    deepen public knowledge of the Holocaust in the context
    of our everyday environment. Stolperwege uses an
    information model that allows for modeling social
    networks of agents starting from information about
    portions of their life. The paper exemplifies how
    Stolperwege is informationally enriched by means of
    historical maps and 3D animations of (historical)
    buildings.},
      acmid          = {3078748},
      doi            = {10.1145/3078714.3078748},
      isbn           = {978-1-4503-4708-2},
      keywords       = {3d, geocaching, geotagging, historical maps,
                       historical processes, public history of the holocaust,
                       ubiquitous computing},
      location       = {Prague, Czech Republic},
      numpages       = {2},
      poster         = {https://www.texttechnologylab.org/wp-content/uploads/2017/07/poster_ht2017.pdf},
      url            = {http://doi.acm.org/10.1145/3078714.3078748},
      year           = 2017
    }
  • A. Mehler, R. Gleim, W. Hemati, and T. Uslu, “Skalenfreie online soziale Lexika am Beispiel von Wiktionary,” in Proceedings of 53rd Annual Conference of the Institut für Deutsche Sprache (IDS), March 14-16, Mannheim, Germany, Berlin, 2017. In German. Title translates into: Scale-free online-social Lexika by Example of Wiktionary
    [Abstract] [BibTeX]

    In English: The paper deals with characteristics of the structural, thematic and participatory dynamics of collaboratively generated lexical networks. This is done by example of Wiktionary. Starting from a network-theoretical model in terms of so-called multi-layer networks, we describe Wiktionary as a scale-free lexicon. Systems of this sort are characterized by the fact that their content-related dynamics is determined by the underlying dynamics of collaborating authors. This happens in a way that social structure imprints on content structure. According to this conception, the unequal distribution of the activities of authors results in a correspondingly unequal distribution of the information units documented within the lexicon. The paper focuses on foundations for describing such systems starting from a parameter space which requires to deal with Wiktionary as an issue in big data analysis.  In German: Der Beitrag thematisiert Eigenschaften der strukturellen, thematischen und partizipativen Dynamik kollaborativ erzeugter lexikalischer Netzwerke am Beispiel von Wiktionary. Ausgehend von einem netzwerktheoretischen Modell in Form so genannter Mehrebenennetzwerke wird Wiktionary als ein skalenfreies Lexikon beschrieben. Systeme dieser Art zeichnen sich dadurch aus, dass ihre inhaltliche Dynamik durch die zugrundeliegende Kollaborationsdynamik bestimmt wird, und zwar so, dass sich die soziale Struktur der entsprechenden inhaltlichen Struktur aufprägt. Dieser Auffassung gemäß führt die Ungleichverteilung der Aktivitäten von Lexikonproduzenten zu einer analogen Ungleichverteilung der im Lexikon dokumentierten Informationseinheiten. Der Beitrag thematisiert Grundlagen zur Beschreibung solcher Systeme ausgehend von einem Parameterraum, welcher die netzwerkanalytische Betrachtung von Wiktionary als Big-Data-Problem darstellt.
    @InProceedings{Mehler:Gleim:Hemati:Uslu:2017,
      Author         = {Alexander Mehler and Rüdiger Gleim and Wahed Hemati
                       and Tolga Uslu},
      Title          = {{Skalenfreie online soziale Lexika am Beispiel von
                       Wiktionary}},
      BookTitle      = {Proceedings of 53rd Annual Conference of the Institut
                       für Deutsche Sprache (IDS), March 14-16, Mannheim,
                       Germany},
      Editor         = {Stefan Engelberg and Henning Lobin and Kathrin Steyer
                       and Sascha Wolfer},
      Address        = {Berlin},
      Publisher      = {De Gruyter},
      Note           = {In German. Title translates into: Scale-free
                       online-social Lexika by Example of Wiktionary},
      abstract       = {In English: The paper deals with characteristics of
    the structural, thematic and participatory dynamics of
    collaboratively generated lexical networks. This is
    done by example of Wiktionary. Starting from a
    network-theoretical model in terms of so-called
    multi-layer networks, we describe Wiktionary as a
    scale-free lexicon. Systems of this sort are
    characterized by the fact that their content-related
    dynamics is determined by the underlying dynamics of
    collaborating authors. This happens in a way that
    social structure imprints on content structure.
    According to this conception, the unequal distribution
    of the activities of authors results in a
    correspondingly unequal distribution of the information
    units documented within the lexicon. The paper focuses
    on foundations for describing such systems starting
    from a parameter space which requires to deal with
    Wiktionary as an issue in big data analysis. 
    In German:
    Der Beitrag thematisiert Eigenschaften der
    strukturellen, thematischen und partizipativen Dynamik
    kollaborativ erzeugter lexikalischer Netzwerke am
    Beispiel von Wiktionary. Ausgehend von einem
    netzwerktheoretischen Modell in Form so genannter
    Mehrebenennetzwerke wird Wiktionary als ein
    skalenfreies Lexikon beschrieben. Systeme dieser Art
    zeichnen sich dadurch aus, dass ihre inhaltliche
    Dynamik durch die zugrundeliegende
    Kollaborationsdynamik bestimmt wird, und zwar so, dass
    sich die soziale Struktur der entsprechenden
    inhaltlichen Struktur aufprägt. Dieser Auffassung
    gemäß führt die Ungleichverteilung der Aktivitäten
    von Lexikonproduzenten zu einer analogen
    Ungleichverteilung der im Lexikon dokumentierten
    Informationseinheiten. Der Beitrag thematisiert
    Grundlagen zur Beschreibung solcher Systeme ausgehend
    von einem Parameterraum, welcher die
    netzwerkanalytische Betrachtung von Wiktionary als
    Big-Data-Problem darstellt.},
      year           = 2017
    }
  • A. Mehler, O. Zlatkin-Troitschanskaia, W. Hemati, D. Molerov, A. Lücking, and S. Schmidt, “Integrating Computational Linguistic Analysis of Multilingual Learning Data and Educational Measurement Approaches to Explore Student Learning in Higher Education,” in Positive Learning in the Age of Information (PLATO) — A blessing or a curse?, O. Zlatkin-Troitschanskaia, G. Wittum, and A. Dengel, Eds., Wiesbaden: Springer, 2017.
    [Abstract] [BibTeX]

    This chapter develops a computational linguistic model for analyzing and comparing multilingual data as well as its application to a large body of standardized assessment data from higher education. The approach employs both an automatic and a manual annotation of the data on several linguistic layers (including parts of speech, text structure and content). Quantitative features of the textual data are explored that are related to both the students’ (domain-specific knowledge) test results and their level of academic experience. The respective analysis involves statistics of distance correlation, text categorization with respect to text types (questions and distractors) as well as languages (English and German), and network analysis as a means to assess dependencies between features. The results indicate a correlation between correct test results of students and linguistic features of the verbal presentations of tests indicating a language influence on higher education test performance. It is also found that this influence relates to special language. Thus, this integrative modeling approach contributes a test basis for a large-scale analysis of learning data and points to a number of subsequent more detailed research.
    @InCollection{Mehler:Zlatkin-Troitschanskaia:Hemati:Molerov:Luecking:Schmidt:2017,
      Author         = {Alexander Mehler and Olga Zlatkin-Troitschanskaia and
                       Wahed Hemati and Dimitri Molerov and Andy Lücking and
                       Susanne Schmidt},
      Title          = {Integrating Computational Linguistic Analysis of
                       Multilingual Learning Data and Educational Measurement
                       Approaches to Explore Student Learning in Higher
                       Education},
      BookTitle      = {Positive Learning in the Age of Information ({PLATO})
                       -- A blessing or a curse?},
      Publisher      = {Springer},
      Editor         = {Zlatkin-Troitschanskaia, Olga and Wittum, Gabriel and
                       Dengel, Andreas},
      Address        = {Wiesbaden},
      abstract       = {This chapter develops a computational linguistic model
    for analyzing and comparing multilingual data as well
    as its application to a large body of standardized
    assessment data from higher education. The approach
    employs both an automatic and a manual annotation of
    the data on several linguistic layers (including parts
    of speech, text structure and content). Quantitative
    features of the textual data are explored that are
    related to both the students’ (domain-specific
    knowledge) test results and their level of academic
    experience. The respective analysis involves statistics
    of distance correlation, text categorization with
    respect to text types (questions and distractors) as
    well as languages (English and German), and network
    analysis as a means to assess dependencies between
    features. The results indicate a correlation between
    correct test results of students and linguistic
    features of the verbal presentations of tests
    indicating a language influence on higher education
    test performance. It is also found that this influence
    relates to special language. Thus, this integrative
    modeling approach contributes a test basis for a
    large-scale analysis of learning data and points to a
    number of subsequent more detailed research.},
      year           = 2017
    }
  • [PDF] T. Uslu, W. Hemati, A. Mehler, and D. Baumartz, “TextImager as a Generic Interface to R,” in Software Demonstrations of the 15th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2017), 2017.
    [BibTeX]

    @InProceedings{Uslu:Hemati:Mehler:Baumartz:2017,
      Author         = {Tolga Uslu and Wahed Hemati and Alexander Mehler and
                       Daniel Baumartz},
      Title          = {{TextImager} as a Generic Interface to {R}},
      BookTitle      = {Software Demonstrations of the 15th Conference of the
                       European Chapter of the Association for Computational
                       Linguistics (EACL 2017)},
      location       = {Valencia, Spain},
      pdf            = {https://www.texttechnologylab.org/wp-content/uploads/2018/03/TextImager.pdf},
      year           = 2017
    }

2016 (14)

  • [PDF] S. Eger, A. Hoenen, and A. Mehler, “Language classification from bilingual word embedding graphs,” in Proceedings of COLING 2016, 2016.
    [BibTeX]

    @InProceedings{Eger:Hoenen:Mehler:2016,
      Author         = {Steffen Eger and Armin Hoenen and Alexander Mehler},
      Title          = {Language classification from bilingual word embedding
                       graphs},
      BookTitle      = {Proceedings of COLING 2016},
      Publisher      = {ACL},
      location       = {Osaka},
      pdf            = {https://www.texttechnologylab.org/wp-content/uploads/2016/10/eger_hoenen_mehler_COLING2016.pdf},
      year           = 2016
    }
  • [PDF] W. Hemati, T. Uslu, and A. Mehler, “TextImager: a Distributed UIMA-based System for NLP,” in Proceedings of the COLING 2016 System Demonstrations, 2016.
    [BibTeX]

    @InProceedings{Hemati:Uslu:Mehler:2016,
      Author         = {Wahed Hemati and Tolga Uslu and Alexander Mehler},
      Title          = {TextImager: a Distributed UIMA-based System for NLP},
      BookTitle      = {Proceedings of the COLING 2016 System Demonstrations},
      Organization   = {Federated Conference on Computer Science and
                       Information Systems},
      location       = {Osaka, Japan},
      pdf            = {https://www.texttechnologylab.org/wp-content/uploads/2018/03/TextImager2016.pdf},
      year           = 2016
    }
  • [PDF] A. Mehler, T. Uslu, and W. Hemati, “Text2voronoi: An Image-driven Approach to Differential Diagnosis,” in Proceedings of the 5th Workshop on Vision and Language (VL’16) hosted by the 54th Annual Meeting of the Association for Computational Linguistics (ACL), Berlin, 2016.
    [BibTeX]

    @InProceedings{Mehler:Uslu:Hemati:2016,
      Author         = {Alexander Mehler and Tolga Uslu and Wahed Hemati},
      Title          = {Text2voronoi: An Image-driven Approach to Differential
                       Diagnosis},
      BookTitle      = {Proceedings of the 5th Workshop on Vision and Language
                       (VL'16) hosted by the 54th Annual Meeting of the
                       Association for Computational Linguistics (ACL), Berlin},
      pdf            = {https://aclweb.org/anthology/W/W16/W16-3212.pdf},
      year           = 2016
    }
  • [PDF] S. Eger and A. Mehler, “On the linearity of semantic change: Investigating meaning variation via dynamic graph models,” in Proceedings of ACL 2016, 2016.
    [BibTeX]

    @InProceedings{Eger:Mehler:2016,
      Author         = {Steffen Eger and Alexander Mehler},
      Title          = {On the linearity of semantic change: {I}nvestigating
                       meaning variation via dynamic graph models},
      BookTitle      = {Proceedings of ACL 2016},
      location       = {Berlin},
      pdf            = {https://www.aclweb.org/anthology/P/P16/P16-2009.pdf},
      year           = 2016
    }
  • [PDF] [DOI] S. Eger, T. vor der Brück, and A. Mehler, “A Comparison of Four Character-Level String-to-String Translation Models for (OCR) Spelling Error Correction,” The Prague Bulletin of Mathematical Linguistics, vol. 105, pp. 77-99, 2016.
    [BibTeX]

    @Article{Eger:vorDerBrueck:Mehler:2016,
      Author         = {Eger, Steffen and vor der Brück, Tim and Mehler,
                       Alexander},
      Title          = {A Comparison of Four Character-Level String-to-String
                       Translation Models for (OCR) Spelling Error Correction},
      Journal        = {The Prague Bulletin of Mathematical Linguistics},
      Volume         = {105},
      Pages          = {77-99},
      doi            = {10.1515/pralin-2016-0004},
      pdf            = {https://ufal.mff.cuni.cz/pbml/105/art-eger-vor-der-brueck.pdf},
      year           = 2016
    }
  • [http://dh2016.adho.org/abstracts/250] A. Mehler, B. Wagner, and R. Gleim, “Wikidition: Towards A Multi-layer Network Model of Intertextuality,” in Proceedings of DH 2016, 12-16 July, 2016.
    [Abstract] [BibTeX]

    The paper presents Wikidition, a novel text mining tool for generating online editions of text corpora. It explores lexical, sentential and textual relations to span multi-layer networks (linkification) that allow for browsing syntagmatic and paradigmatic relations among the constituents of its input texts. In this way, relations of text reuse can be explored together with lexical relations within the same literary memory information system. Beyond that, Wikidition contains a module for automatic lexiconisation to extract author specific vocabularies. Based on linkification and lexiconisation, Wikidition does not only allow for traversing input corpora on different (lexical, sentential and textual) levels. Rather, its readers can also study the vocabulary of authors on several levels of resolution including superlemmas, lemmas, syntactic words and wordforms. We exemplify Wikidition by a range of literary texts and evaluate it by means of the apparatus of quantitative network analysis.
    @InProceedings{Mehler:Wagner:Gleim:2016,
      Author         = {Mehler, Alexander and Wagner, Benno and Gleim,
                       R\"{u}diger},
      Title          = {Wikidition: Towards A Multi-layer Network Model of
                       Intertextuality},
      BookTitle      = {Proceedings of DH 2016, 12-16 July},
      Series         = {DH 2016},
      abstract       = {The paper presents Wikidition, a novel text mining
    tool for generating online editions of text corpora. It
    explores lexical, sentential and textual relations to
    span multi-layer networks (linkification) that allow
    for browsing syntagmatic and paradigmatic relations
    among the constituents of its input texts. In this way,
    relations of text reuse can be explored together with
    lexical relations within the same literary memory
    information system. Beyond that, Wikidition contains a
    module for automatic lexiconisation to extract author
    specific vocabularies. Based on linkification and
    lexiconisation, Wikidition does not only allow for
    traversing input corpora on different (lexical,
    sentential and textual) levels. Rather, its readers can
    also study the vocabulary of authors on several levels
    of resolution including superlemmas, lemmas, syntactic
    words and wordforms. We exemplify Wikidition by a range
    of literary texts and evaluate it by means of the
    apparatus of quantitative network analysis.},
      location       = {Kraków},
      url            = {http://dh2016.adho.org/abstracts/250},
      year           = 2016
    }
  • [PDF] T. vor der Brück and A. Mehler, “TLT-CRF: A Lexicon-supported Morphological Tagger for Latin Based on Conditional Random Fields,” in Proceedings of the 10th International Conference on Language Resources and Evaluation, 2016.
    [BibTeX]

    @InProceedings{vorderBrueck:Mehler:2016,
      Author         = {vor der Br\"{u}ck, Tim and Mehler, Alexander},
      Title          = {{TLT-CRF}: A Lexicon-supported Morphological Tagger
                       for {Latin} Based on Conditional Random Fields},
      BookTitle      = {Proceedings of the 10th International Conference on
                       Language Resources and Evaluation},
      Series         = {LREC 2016},
      location       = {{Portoro\v{z} (Slovenia)}},
      pdf            = {http://www.texttechnologylab.org/wp-content/uploads/2016/04/lrec2016_tagger.pdf},
      year           = 2016
    }
  • [PDF] S. Eger, R. Gleim, and A. Mehler, “Lemmatization and Morphological Tagging in German and Latin: A comparison and a survey of the state-of-the-art,” in Proceedings of the 10th International Conference on Language Resources and Evaluation, 2016.
    [BibTeX]

    @InProceedings{Eger:Mehler:Gleim:2016,
      Author         = {Eger, Steffen and Gleim, R\"{u}diger and Mehler,
                       Alexander},
      Title          = {Lemmatization and Morphological Tagging in {German}
                       and {Latin}: A comparison and a survey of the
                       state-of-the-art},
      BookTitle      = {Proceedings of the 10th International Conference on
                       Language Resources and Evaluation},
      Series         = {LREC 2016},
      location       = {Portoro\v{z} (Slovenia)},
      pdf            = {http://www.texttechnologylab.org/wp-content/uploads/2016/04/lrec_eger_gleim_mehler.pdf},
      year           = 2016
    }
  • [PDF] A. Lücking, A. Mehler, D. Walther, M. Mauri, and D. Kurfürst, “Finding Recurrent Features of Image Schema Gestures: the FIGURE corpus,” in Proceedings of the 10th International Conference on Language Resources and Evaluation, 2016.
    [BibTeX]

    @InProceedings{Luecking:Mehler:Walther:Mauri:Kurfuerst:2016,
      Author         = {L\"{u}cking, Andy and Mehler, Alexander and Walther,
                       D\'{e}sir\'{e}e and Mauri, Marcel and Kurf\"{u}rst,
                       Dennis},
      Title          = {Finding Recurrent Features of Image Schema Gestures:
                       the {FIGURE} corpus},
      BookTitle      = {Proceedings of the 10th International Conference on
                       Language Resources and Evaluation},
      Series         = {LREC 2016},
      location       = {Portoro\v{z} (Slovenia)},
      pdf            = {http://www.texttechnologylab.org/wp-content/uploads/2016/04/lrec2016-gesture-study-final-version-short.pdf},
      year           = 2016
    }
  • [PDF] A. Lücking, A. Hoenen, and A. Mehler, “TGermaCorp — A (Digital) Humanities Resource for (Computational) Linguistics,” in Proceedings of the 10th International Conference on Language Resources and Evaluation, 2016.
    [BibTeX]

    @InProceedings{Luecking:Hoenen:Mehler:2016,
      Author         = {L\"{u}cking, Andy and Hoenen, Armin and Mehler,
                       Alexander},
      Title          = {{TGermaCorp} -- A (Digital) Humanities Resource for
                       (Computational) Linguistics},
      BookTitle      = {Proceedings of the 10th International Conference on
                       Language Resources and Evaluation},
      Series         = {LREC 2016},
      islrn          = {536-382-801-278-5},
      location       = {Portoro\v{z} (Slovenia)},
      pdf            = {http://www.texttechnologylab.org/wp-content/uploads/2016/04/lrec2016-ttgermacorp-final.pdf},
      year           = 2016
    }
  • [http://www.dhd2016.de/abstracts/sektionen-005.html#index.xml-body.1_div.4] B. Wagner, A. Mehler, and H. Biber, “Transbiblionome Daten in der Literaturwissenschaft. Texttechnologische Erschließung und digitale Visualisierung intertextueller Beziehungen digitaler Korpora,” in DHd 2016, 2016.
    [BibTeX]

    @InProceedings{Wagner:Mehler:Biber:2016,
      Author         = {Wagner, Benno and Mehler, Alexander and Biber, Hanno},
      Title          = {{Transbiblionome Daten in der Literaturwissenschaft.
                       Texttechnologische Erschließung und digitale
                       Visualisierung intertextueller Beziehungen digitaler
                       Korpora}},
      BookTitle      = {DHd 2016},
      url            = {http://www.dhd2016.de/abstracts/sektionen-005.html#index.xml-body.1_div.4},
      year           = 2016
    }
  • [DOI] A. Mehler, R. Gleim, T. vor der Brück, W. Hemati, T. Uslu, and S. Eger, “Wikidition: Automatic Lexiconization and Linkification of Text Corpora,” Information Technology, pp. 70-79, 2016.
    [Abstract] [BibTeX]

    We introduce a new text technology, called Wikidition, which automatically generates large scale editions of corpora of natural language texts. Wikidition combines a wide range of text mining tools for automatically linking lexical, sentential and textual units. This includes the extraction of corpus-specific lexica down to the level of syntactic words and their grammatical categories. To this end, we introduce a novel measure of text reuse and exemplify Wikidition by means of the capitularies, that is, a corpus of Medieval Latin texts.
    @Article{Mehler:et:al:2016,
      Author         = {Alexander Mehler and Rüdiger Gleim and Tim vor der
                       Brück and Wahed Hemati and Tolga Uslu and Steffen Eger},
      Title          = {Wikidition: Automatic Lexiconization and
                       Linkification of Text Corpora},
      Journal        = {Information Technology},
      Pages          = {70-79},
      abstract       = {We introduce a new text technology, called Wikidition,
    which automatically generates large scale editions of
    corpora of natural language texts. Wikidition combines
    a wide range of text mining tools for automatically
    linking lexical, sentential and textual units. This
    includes the extraction of corpus-specific lexica down
    to the level of syntactic words and their grammatical
    categories. To this end, we introduce a novel measure
    of text reuse and exemplify Wikidition by means of the
    capitularies, that is, a corpus of Medieval Latin
    texts.},
      doi            = {10.1515/itit-2015-0035},
      year           = 2016
    }
  • [PDF] “Corpora and Resources for (Historical) Low Resource Languages,” , vol. 31, iss. 2, 2016.
    [BibTeX]

    @collection{GSCL:JLCL:2016:2,
      bibsource      = {GSCL, http://www.gscl.info/},
      editor         = {Armin Hoenen and Alexander Mehler and Jost Gippert},
      image          = {https://www.texttechnologylab.org/wp-content/uploads/2017/10/Titelblatt-Heft2-2016.png},
      issn           = {2190-6858},
      number         = {2},
      pdf            = {http://www.jlcl.org/2016_Heft2/Heft2-2016.pdf},
      publisher      = {JLCL},
      title          = {{Corpora and Resources for (Historical) Low Resource
                       Languages}},
      volume         = {31},
      year           = 2016
    }
  • [PDF] A. Hoenen, A. Mehler, and J. Gippert, “Editorial,” JLCL, vol. 31, iss. 2, p. iii–iv, 2016.
    [BibTeX]

    @Article{Hoenen:Mehler:Gippert:2016,
      Author         = {Armin Hoenen and Alexander Mehler and Jost Gippert},
      Title          = {{Editorial}},
      Journal        = {JLCL},
      Volume         = {31},
      Number         = {2},
      Pages          = {iii--iv},
      pdf            = {http://www.jlcl.org/2016_Heft2/Heft2-2016.pdf},
      year           = 2016
    }

2015 (10)

  • Text Mining: From Ontology Learning to Automated Text Processing Applications. Festschrift in Honor of Gerhard Heyer, C. Biemann and A. Mehler, Eds., Heidelberg: Springer, 2015.
    [BibTeX]

    @Book{Biemann:Mehler:2015,
      Editor         = {Biemann, Chris and Mehler, Alexander},
      Title          = {{Text Mining: From Ontology Learning to Automated Text
                       Processing Applications. Festschrift in Honor of
                       Gerhard Heyer}},
      Publisher      = {Springer},
      Series         = {Theory and Applications of Natural Language Processing},
      Address        = {Heidelberg},
      image          = {https://www.texttechnologylab.org/wp-content/uploads/2015/09/TextMiningsmall.jpg},
      year           = 2015
    }
  • T. vor der Brück, S. Eger, and A. Mehler, “Complex Decomposition of the Negative Distance Kernel,” in IEEE International Conference on Machine Learning and Applications, 2015.
    [BibTeX]

    @InProceedings{vor:der:Bruck:Eger:Mehler:2015,
      Author         = {vor der Br{\"u}ck, Tim and Eger, Steffen and Mehler,
                       Alexander},
      Title          = {Complex Decomposition of the Negative Distance Kernel},
      BookTitle      = {IEEE International Conference on Machine Learning and
                       Applications},
      location       = {Miami, Florida, USA},
      year           = 2015
    }
  • [PDF] S. Eger, T. vor der Brück, and A. Mehler, “Lexicon-assisted tagging and lemmatization in Latin: A comparison of six taggers and two lemmatization methods,” in Proceedings of the 9th Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities (LaTeCH 2015), Beijing, China, 2015.
    [BibTeX]

    @InProceedings{Eger:vor:der:Brueck:Mehler:2015,
      Author         = {Eger, Steffen and vor der Brück, Tim and Mehler,
                       Alexander},
      Title          = {Lexicon-assisted tagging and lemmatization in {Latin}:
                       A comparison of six taggers and two lemmatization
                       methods},
      BookTitle      = {Proceedings of the 9th Workshop on Language Technology
                       for Cultural Heritage, Social Sciences, and Humanities
                       ({LaTeCH 2015})},
      Address        = {Beijing, China},
      pdf            = {https://www.texttechnologylab.org/wp-content/uploads/2015/08/Lexicon-assisted_tagging.pdf},
      year           = 2015
    }
  • Towards a Theoretical Framework for Analyzing Complex Linguistic Networks, A. Mehler, A. Lücking, S. Banisch, P. Blanchard, and B. Frank-Job, Eds., Springer, 2015.
    [BibTeX]

    @Book{Mehler:Luecking:Banisch:Blanchard:Frank-Job:2015,
      Editor         = {Mehler, Alexander and Lücking, Andy and Banisch, Sven
                       and Blanchard, Philippe and Frank-Job, Barbara},
      Title          = {Towards a Theoretical Framework for Analyzing Complex
                       Linguistic Networks},
      Publisher      = {Springer},
      Series         = {Understanding Complex Systems},
      adress         = {Berlin and New York},
      image          = {https://www.texttechnologylab.org/wp-content/uploads/2015/09/UCS_17-2-tmp.png},
      isbn           = {978-36-662-47237-8},
      year           = 2015
    }
  • A. Mehler and R. Gleim, “Linguistic Networks — An Online Platform for Deriving Collocation Networks from Natural Language Texts,” in Towards a Theoretical Framework for Analyzing Complex Linguistic Networks, A. Mehler, A. Lücking, S. Banisch, P. Blanchard, and B. Frank-Job, Eds., Springer, 2015.
    [BibTeX]

    @InCollection{Mehler:Gleim:2015:a,
      Author         = {Mehler, Alexander and Gleim, Rüdiger},
      Title          = {Linguistic Networks -- An Online Platform for Deriving
                       Collocation Networks from Natural Language Texts},
      BookTitle      = {Towards a Theoretical Framework for Analyzing Complex
                       Linguistic Networks},
      Publisher      = {Springer},
      Editor         = {Mehler, Alexander and Lücking, Andy and Banisch, Sven
                       and Blanchard, Philippe and Frank-Job, Barbara},
      Series         = {Understanding Complex Systems},
      year           = 2015
    }
  • [PDF] [http://www.aclweb.org/anthology/S15-1014] S. Eger, N. Schenk, and A. Mehler, “Towards Semantic Language Classification: Inducing and Clustering Semantic Association Networks from Europarl,” in Proceedings of the Fourth Joint Conference on Lexical and Computational Semantics, 2015, pp. 127-136.
    [BibTeX]

    @InProceedings{Eger:Schenk:Mehler:2015,
      Author         = {Eger, Steffen and Schenk, Niko and Mehler, Alexander},
      Title          = {Towards Semantic Language Classification: Inducing and
                       Clustering Semantic Association Networks from Europarl},
      BookTitle      = {Proceedings of the Fourth Joint Conference on Lexical
                       and Computational Semantics},
      Pages          = {127--136},
      Publisher      = {Association for Computational Linguistics},
      month          = {June},
      pdf            = {https://www.texttechnologylab.org/wp-content/uploads/2015/08/starsem2015-corrected-version.pdf},
      url            = {http://www.aclweb.org/anthology/S15-1014},
      year           = 2015
    }
  • A. Mehler, T. vor der Brück, R. Gleim, and T. Geelhaar, “Towards a Network Model of the Coreness of Texts: An Experiment in Classifying Latin Texts using the TTLab Latin Tagger,” in Text Mining: From Ontology Learning to Automated text Processing Applications, C. Biemann and A. Mehler, Eds., Berlin/New York: Springer, 2015, pp. 87-112.
    [Abstract] [BibTeX]

    The analysis of longitudinal corpora of historical texts requires the integrated development of tools for automatically preprocessing these texts and for building representation models of their genre- and register-related dynamics. In this chapter we present such a joint endeavor that ranges from resource formation via preprocessing to network-based text representation and classification. We start with presenting the so-called TTLab Latin Tagger (TLT) that preprocesses texts of classical and medieval Latin. Its lexical resource in the form of the Frankfurt Latin Lexicon (FLL) is also briefly introduced. As a first test case for showing the expressiveness of these resources, we perform a tripartite classification task of authorship attribution, genre detection and a combination thereof. To this end, we introduce a novel text representation model that explores the core structure (the so-called coreness) of lexical network representations of texts. Our experiment shows the expressiveness of this representation format and mediately of our Latin preprocessor.
    @InCollection{Mehler:Brueck:Gleim:Geelhaar:2015,
      Author         = {Mehler, Alexander and vor der Brück, Tim and Gleim,
                       Rüdiger and Geelhaar, Tim},
      Title          = {Towards a Network Model of the Coreness of Texts: An
                       Experiment in Classifying Latin Texts using the TTLab
                       Latin Tagger},
      BookTitle      = {Text Mining: From Ontology Learning to Automated text
                       Processing Applications},
      Publisher      = {Springer},
      Editor         = {Chris Biemann and Alexander Mehler},
      Series         = {Theory and Applications of Natural Language Processing},
      Pages          = {87-112},
      Address        = {Berlin/New York},
      abstract       = {The analysis of longitudinal corpora of historical
    texts requires the integrated development of tools for
    automatically preprocessing these texts and for
    building representation models of their genre- and
    register-related dynamics. In this chapter we present
    such a joint endeavor that ranges from resource
    formation via preprocessing to network-based text
    representation and classification. We start with
    presenting the so-called TTLab Latin Tagger (TLT) that
    preprocesses texts of classical and medieval Latin. Its
    lexical resource in the form of the Frankfurt Latin
    Lexicon (FLL) is also briefly introduced. As a first
    test case for showing the expressiveness of these
    resources, we perform a tripartite classification task
    of authorship attribution, genre detection and a
    combination thereof. To this end, we introduce a novel
    text representation model that explores the core
    structure (the so-called coreness) of lexical network
    representations of texts. Our experiment shows the
    expressiveness of this representation format and
    mediately of our Latin preprocessor.},
      website        = {http://link.springer.com/chapter/10.1007/978-3-319-12655-5_5},
      year           = 2015
    }
  • [PDF] R. Gleim and A. Mehler, “TTLab Preprocessor – Eine generische Web-Anwendung für die Vorverarbeitung von Texten und deren Evaluation,” in Accepted in the Proceedings of the Jahrestagung der Digital Humanities im deutschsprachigen Raum, 2015.
    [BibTeX]

    @InProceedings{Gleim:Mehler:2015,
      Author         = {Gleim, Rüdiger and Mehler, Alexander},
      Title          = {TTLab Preprocessor – Eine generische Web-Anwendung
                       für die Vorverarbeitung von Texten und deren
                       Evaluation},
      BookTitle      = {Accepted in the Proceedings of the Jahrestagung der
                       Digital Humanities im deutschsprachigen Raum},
      pdf            = {https://www.texttechnologylab.org/wp-content/uploads/2015/08/Gleim_Mehler_PrePro_DHGraz2015.pdf},
      year           = 2015
    }
  • [PDF] G. Abrami, A. Mehler, and S. Zeunert, “Ontologiegestütze geisteswissenschaftliche Annotationen mit dem OWLnotator,” in Proceedings of the Jahrestagung der Digital Humanities im deutschsprachigen Raum, 2015.
    [BibTeX]

    @InProceedings{Abrami:Mehler:Zeunert:2015:a,
      Author         = {Abrami, Giuseppe and Mehler, Alexander and Zeunert,
                       Susanne},
      Title          = {Ontologiegestütze geisteswissenschaftliche
                       Annotationen mit dem OWLnotator},
      BookTitle      = {Proceedings of the Jahrestagung der Digital Humanities
                       im deutschsprachigen Raum},
      pdf            = {https://www.texttechnologylab.org/wp-content/uploads/2015/08/Abrami_Mehler_Zeunert_DHd_2015_abstract.pdf},
      year           = 2015
    }
  • [DOI] G. Abrami, A. Mehler, and D. Pravida, “Fusing Text and Image Data with the Help of the OWLnotator,” in Human Interface and the Management of Information. Information and Knowledge Design, S. Yamamoto, Ed., Springer International Publishing, 2015, vol. 9172, pp. 261-272.
    [BibTeX]

    @InCollection{Abrami:Mehler:Pravida:2015:b,
      Author         = {Abrami, Giuseppe and Mehler, Alexander and Pravida,
                       Dietmar},
      Title          = {Fusing Text and Image Data with the Help of the
                       OWLnotator},
      BookTitle      = {Human Interface and the Management of Information.
                       Information and Knowledge Design},
      Publisher      = {Springer International Publishing},
      Editor         = {Yamamoto, Sakae},
      Volume         = {9172},
      Series         = {Lecture Notes in Computer Science},
      Pages          = {261-272},
      doi            = {10.1007/978-3-319-20612-7_25},
      isbn           = {978-3-319-20611-0},
      language       = {English},
      website        = {http://dx.doi.org/10.1007/978-3-319-20612-7_25},
      year           = 2015
    }

2014 (6)

  • G. Abrami, A. Mehler, D. Pravida, and S. Zeunert, “Rubrik: Neues aus dem Netz,” Kunstchronik, vol. 12, p. 623, 2014.
    [BibTeX]

    @Article{Abrami:Mehler:Pravida:Zeunert:2014,
      Author         = {Abrami, Giuseppe and Mehler, Alexander and Pravida,
                       Dietmar and Zeunert, Susanne},
      Title          = {Rubrik: Neues aus dem Netz},
      Journal        = {Kunstchronik},
      Volume         = {12},
      Pages          = {623},
      address        = {München},
      month          = {12},
      publisher      = {Zentralinstitut für Kunstgeschichte},
      website        = {http://www.zikg.eu/publikationen/laufende-publikationen/kunstchronik},
      year           = 2014
    }
  • [PDF] A. Mehler, “On the Expressiveness, Validity and Reproducibility of Models of Language Evolution. Comment on ‘Modelling language evolution: Examples and predictions’ by Tao Gong, Shuai Lan, and Menghan Zhang,” Physics of Life Review, 2014.
    [BibTeX]

    @Article{Mehler:2014,
      Author         = {Mehler, Alexander},
      Title          = {On the Expressiveness, Validity and Reproducibility of
                       Models of Language Evolution. Comment on 'Modelling
                       language evolution: Examples and predictions' by Tao
                       Gong, Shuai Lan, and Menghan Zhang},
      Journal        = {Physics of Life Review},
      abstract       = {},
      pdf            = {http://www.sciencedirect.com/science/article/pii/S1571064514000529/pdfft?md5=6a2cbbfc083d7bc3adfd26d431cc55d8&pid=1-s2.0-S1571064514000529-main.pdf},
      website        = {https://www.researchgate.net/publication/261290946_On_the_expressiveness_validity_and_reproducibility_of_models_of_language_evolution_Comment_on_Modelling_language_evolution_Examples_and_predictions_by_Tao_Gong_Shuai_Lan_and_Menghan_Zhang},
      year           = 2014
    }
  • M. Z. Islam, M. R. Rahman, and A. Mehler, “Readability Classification of Bangla Texts,” in 15th International Conference on Intelligent Text Processing and Computational Linguistics (cicLing), Kathmandu, Nepal, 2014.
    [Abstract] [BibTeX]

    Readability classification is an important application of Natural Language Processing. It aims at judging the quality of documents and to assist writers to identify possible problems. This paper presents a readability classifier for Bangla textbooks using information-theoretic and lexical features. All together 18 features are explored to achieve an F-score of 86.46
    @InProceedings{Islam:Rahman:Mehler:2014,
      Author         = {Islam, Md. Zahurul and Rahman, Md. Rashedur and
                       Mehler, Alexander},
      Title          = {Readability Classification of Bangla Texts},
      BookTitle      = {15th International Conference on Intelligent Text
                       Processing and Computational Linguistics (cicLing),
                       Kathmandu, Nepal},
      abstract       = {Readability classification is an important application
    of Natural Language Processing. It aims at judging the
    quality of documents and to assist writers to identify
    possible problems. This paper presents a readability
    classifier for Bangla textbooks using
    information-theoretic and lexical features. All
    together 18 features are explored to achieve an F-score
    of 86.46},
      year           = 2014
    }
  • [PDF] A. Mehler, T. vor der Brück, and A. Lücking, “Comparing Hand Gesture Vocabularies for HCI,” in Proceedings of HCI International 2014, 22 – 27 June 2014, Heraklion, Greece, Berlin/New York: Springer, 2014.
    [Abstract] [BibTeX]

    HCI systems are often equipped with gestural interfaces drawing on a predefined set of admitted gestures. We provide an assessment of the fitness of such gesture vocabularies in terms of their learnability and naturalness. This is done by example of rivaling gesture vocabularies of the museum information system WikiNect. In this way, we do not only provide a procedure for evaluating gesture vocabularies, but additionally contribute to design criteria to be followed by the gestures.
    @InCollection{Mehler:vor:der:Brueck:Luecking:2014,
      Author         = {Mehler, Alexander and vor der Brück, Tim and
                       Lücking, Andy},
      Title          = {Comparing Hand Gesture Vocabularies for HCI},
      BookTitle      = {Proceedings of HCI International 2014, 22 - 27 June
                       2014, Heraklion, Greece},
      Publisher      = {Springer},
      Address        = {Berlin/New York},
      abstract       = {HCI systems are often equipped with gestural
    interfaces drawing on a predefined set of admitted
    gestures. We provide an assessment of the fitness of
    such gesture vocabularies in terms of their
    learnability and naturalness. This is done by example
    of rivaling gesture vocabularies of the museum
    information system WikiNect. In this way, we do not
    only provide a procedure for evaluating gesture
    vocabularies, but additionally contribute to design
    criteria to be followed by the gestures.},
      keywords       = {wikinect},
      pdf            = {https://www.texttechnologylab.org/wp-content/uploads/2015/08/Comparing-Gesture-Vocabularies-1_1.pdf},
      website        = {{http://link.springer.com/chapter/10.1007/978-3-319-07230-2_8#page-1}},
      year           = 2014
    }
  • [PDF] [DOI] A. Mehler, A. Lücking, and G. Abrami, “WikiNect: Image Schemata as a Basis of Gestural Writing for Kinetic Museum Wikis,” Universal Access in the Information Society, pp. 1-17, 2014.
    [Abstract] [BibTeX]

    This paper provides a theoretical assessment of gestures in the context of authoring image-related hypertexts by example of the museum information system WikiNect. To this end, a first implementation of gestural writing based on image schemata is provided (Lakoff in Women, fire, and dangerous things: what categories reveal about the mind. University of Chicago Press, Chicago, 1987). Gestural writing is defined as a sort of coding in which propositions are only expressed by means of gestures. In this respect, it is shown that image schemata allow for bridging between natural language predicates and gestural manifestations. Further, it is demonstrated that gestural writing primarily focuses on the perceptual level of image descriptions (Hollink et al. in Int J Hum Comput Stud 61(5):601–626, 2004). By exploring the metaphorical potential of image schemata, it is finally illustrated how to extend the expressiveness of gestural writing in order to reach the conceptual level of image descriptions. In this context, the paper paves the way for implementing museum information systems like WikiNect as systems of kinetic hypertext authoring based on full-fledged gestural writing.
    @Article{Mehler:Luecking:Abrami:2014,
      Author         = {Mehler, Alexander and Lücking, Andy and Abrami,
                       Giuseppe},
      Title          = {{WikiNect}: Image Schemata as a Basis of Gestural
                       Writing for Kinetic Museum Wikis},
      Journal        = {Universal Access in the Information Society},
      Pages          = {1-17},
      abstract       = {This paper provides a theoretical assessment of
    gestures in the context of authoring image-related
    hypertexts by example of the museum information system
    WikiNect. To this end, a first implementation of
    gestural writing based on image schemata is provided
    (Lakoff in Women, fire, and dangerous things: what
    categories reveal about the mind. University of Chicago
    Press, Chicago, 1987). Gestural writing is defined as a
    sort of coding in which propositions are only expressed
    by means of gestures. In this respect, it is shown that
    image schemata allow for bridging between natural
    language predicates and gestural manifestations.
    Further, it is demonstrated that gestural writing
    primarily focuses on the perceptual level of image
    descriptions (Hollink et al. in Int J Hum Comput Stud
    61(5):601–626, 2004). By exploring the metaphorical
    potential of image schemata, it is finally illustrated
    how to extend the expressiveness of gestural writing in
    order to reach the conceptual level of image
    descriptions. In this context, the paper paves the way
    for implementing museum information systems like
    WikiNect as systems of kinetic hypertext authoring
    based on full-fledged gestural writing.},
      doi            = {10.1007/s10209-014-0386-8},
      issn           = {1615-5289},
      keywords       = {wikinect},
      pdf            = {https://www.texttechnologylab.org/wp-content/uploads/2015/08/art_10.1007_s10209-014-0386-8.pdf},
      website        = {http://dx.doi.org/10.1007/s10209-014-0386-8},
      year           = 2014
    }
  • [PDF] T. vor der Brück, A. Mehler, and M. Z. Islam, “ColLex.EN: Automatically Generating and Evaluating a Full-form Lexicon for English,” in Proceedings of LREC 2014, Reykjavik, Iceland, 2014.
    [Abstract] [BibTeX]

    Currently, a large number of different lexica is                    available for English. However, substantial and freely                    available fullform lexica with a high number of named                    entities are rather rare even in the case of this                    lingua franca. Existing lexica are often limited in                    several respects as explained in Section 2. What is                    missing so far is a freely available substantial                    machine-readable lexical resource of English that                    contains a high number of word forms and a large                    collection of named entities. In this paper, we                    describe a procedure to generate such a resource by                    example of English. This lexicon, henceforth called                    ColLex.EN (for Collecting Lexica for English ), will be                    made freely available to the public 1. In this paper,                    we describe how ColLex.EN was collected from existing                    lexical resources and specify the statistical                    procedures that we developed to extend and adjust it.                    No manual modifications were done on the generated word                    forms and lemmas. Our fully automatic procedure has the                    advantage that whenever new versions of the source                    lexica are available, a new version of ColLex.EN can be                    automatically generated with low effort.
    @InProceedings{vor:der:Brueck:Mehler:Islam:2014,
      Author         = {vor der Brück, Tim and Mehler, Alexander and Islam,
                       Md. Zahurul},
      Title          = {ColLex.EN: Automatically Generating and Evaluating a
                       Full-form Lexicon for English},
      BookTitle      = {Proceedings of LREC 2014},
      Address        = {Reykjavik, Iceland},
      abstract       = {Currently, a large number of different lexica is
                       available for English. However, substantial and freely
                       available fullform lexica with a high number of named
                       entities are rather rare even in the case of this
                       lingua franca. Existing lexica are often limited in
                       several respects as explained in Section 2. What is
                       missing so far is a freely available substantial
                       machine-readable lexical resource of English that
                       contains a high number of word forms and a large
                       collection of named entities. In this paper, we
                       describe a procedure to generate such a resource by
                       example of English. This lexicon, henceforth called
                       ColLex.EN (for Collecting Lexica for English ), will be
                       made freely available to the public 1. In this paper,
                       we describe how ColLex.EN was collected from existing
                       lexical resources and specify the statistical
                       procedures that we developed to extend and adjust it.
                       No manual modifications were done on the generated word
                       forms and lemmas. Our fully automatic procedure has the
                       advantage that whenever new versions of the source
                       lexica are available, a new version of ColLex.EN can be
                       automatically generated with low effort.},
      pdf            = {https://www.texttechnologylab.org/wp-content/uploads/2015/08/vdbrueck_mehler_islam_collex_lrec.pdf},
      website        = {
                       http://aclanthology.info/papers/collex-en-automatically-generating-and-evaluating-a-full-form-lexicon-for-english},
      year           = 2014
    }

2013 (7)

  • [PDF] A. Mehler, R. Schneider, and A. Storrer, Webkorpora in Computerlinguistik und Sprachforschung, R. Schneider, A. Storrer, and A. Mehler, Eds., JLCL, 2013, vol. 28.
    [BibTeX]

    @Book{Schneider:Storrer:Mehler:2013,
      Author         = {Mehler, Alexander and Schneider, Roman and Storrer,
                       Angelika},
      Editor         = {Roman Schneider and Angelika Storrer and Alexander
                       Mehler},
      Title          = {Webkorpora in Computerlinguistik und Sprachforschung},
      Publisher      = {JLCL},
      Volume         = {28},
      Number         = {2},
      Series         = {Journal for Language Technology and Computational
                       Linguistics (JLCL)},
      image          = {https://www.texttechnologylab.org/wp-content/uploads/2015/09/Webkorpora-300-20.png},
      issn           = {2190-6858},
      pagetotal      = {107},
      pdf            = {http://www.jlcl.org/2013_Heft2/H2013-2.pdf},
      year           = 2013
    }
  • [http://scch2013.wordpress.com/] A. Mehler, A. Lücking, T. vor der Brück, and G. Abrami, WikiNect – A Kinetic Artwork Wiki for Exhibition Visitors, 2013.
    [Poster][BibTeX]

    @Misc{Mehler:Luecking:vor:der:Brueck:2013:a,
      Author         = {Mehler, Alexander and Lücking, Andy and vor der
                       Brück, Tim and Abrami, Giuseppe},
      Title          = {WikiNect - A Kinetic Artwork Wiki for Exhibition
                       Visitors},
      HowPublished   = {Poster Presentation at the Scientific Computing and
                       Cultural Heritage 2013 Conference, Heidelberg},
      keywords       = {wikinect},
      month          = {11},
      poster         = {https://www.texttechnologylab.org/wp-content/uploads/2015/08/SCCHPoster2013.pdf},
      url            = {http://scch2013.wordpress.com/},
      year           = 2013
    }
  • [PDF] A. Lücking and A. Mehler, “On Three Notions of Grounding of Artificial Dialog Companions,” Science, Technology & Innovation Studies, vol. 10, iss. 1, pp. 31-36, 2013.
    [Abstract] [BibTeX]

    We provide a new, theoretically motivated evaluation                    grid for assessing the conversational achievements of                    Artificial Dialog Companions (ADCs). The grid is                    spanned along three grounding problems. Firstly, it is                    argued that symbol grounding in general has to be                    instrinsic. Current approaches in this context,                    however, are limited to a certain kind of expression                    that can be grounded in this way. Secondly, we identify                    three requirements for conversational grounding, the                    process leading to mutual understanding. Finally, we                    sketch a test case for symbol grounding in the form of                    the philosophical grounding problem that involves the                    use of modal language. Together, the three grounding                    problems provide a grid that allows us to assess                    ADCs’ dialogical performances and to pinpoint future                    developments on these grounds.
    @Article{Luecking:Mehler:2013:a,
      Author         = {Lücking, Andy and Mehler, Alexander},
      Title          = {On Three Notions of Grounding of Artificial Dialog
                       Companions},
      Journal        = {Science, Technology \& Innovation Studies},
      Volume         = {10},
      Number         = {1},
      Pages          = {31-36},
      abstract       = {We provide a new, theoretically motivated evaluation
                       grid for assessing the conversational achievements of
                       Artificial Dialog Companions (ADCs). The grid is
                       spanned along three grounding problems. Firstly, it is
                       argued that symbol grounding in general has to be
                       instrinsic. Current approaches in this context,
                       however, are limited to a certain kind of expression
                       that can be grounded in this way. Secondly, we identify
                       three requirements for conversational grounding, the
                       process leading to mutual understanding. Finally, we
                       sketch a test case for symbol grounding in the form of
                       the philosophical grounding problem that involves the
                       use of modal language. Together, the three grounding
                       problems provide a grid that allows us to assess
                       ADCs’ dialogical performances and to pinpoint future
                       developments on these grounds.},
      pdf            = {https://www.texttechnologylab.org/wp-content/uploads/2015/08/STI-final-badge.pdf},
      website        = {http://www.sti-studies.de/ojs/index.php/sti/article/view/143},
      year           = 2013
    }
  • Die Dynamik sozialer und sprachlicher Netzwerke: Konzepte, Methoden und empirische Untersuchungen an Beispielen des WWW, B. Frank-Job, A. Mehler, and T. Sutter, Eds., Wiesbaden: Springer VS, 2013.
    [Abstract] [BibTeX]

    In diesem Band präsentieren Medien- und                    Informationswissenschaftler, Netzwerkforscher aus                    Informatik, Texttechnologie und Physik, Soziologen und                    Linguisten interdisziplinär Aspekte der Erforschung                    komplexer Mehrebenen-Netzwerke. Im Zentrum ihres                    Interesses stehen Untersuchungen zum Zusammenhang                    zwischen sozialen und sprachlichen Netzwerken und ihrer                    Dynamiken, aufgezeigt an empirischen Beispielen aus dem                    Bereich des Web 2.0, aber auch an historischen                    Dokumentenkorpora sowie an Rezeptions-Netzwerken aus                    Kunst- und Literaturwissenschaft.
    @Book{FrankJob:Mehler:Sutter:2013,
      Editor         = {Barbara Frank-Job and Alexander Mehler and Tilmann
                       Sutter},
      Title          = {Die Dynamik sozialer und sprachlicher Netzwerke:
                       Konzepte, Methoden und empirische Untersuchungen an
                       Beispielen des WWW},
      Publisher      = {Springer VS},
      Address        = {Wiesbaden},
      abstract       = {In diesem Band pr{\"a}sentieren Medien- und
                       Informationswissenschaftler, Netzwerkforscher aus
                       Informatik, Texttechnologie und Physik, Soziologen und
                       Linguisten interdisziplin{\"a}r Aspekte der Erforschung
                       komplexer Mehrebenen-Netzwerke. Im Zentrum ihres
                       Interesses stehen Untersuchungen zum Zusammenhang
                       zwischen sozialen und sprachlichen Netzwerken und ihrer
                       Dynamiken, aufgezeigt an empirischen Beispielen aus dem
                       Bereich des Web 2.0, aber auch an historischen
                       Dokumentenkorpora sowie an Rezeptions-Netzwerken aus
                       Kunst- und Literaturwissenschaft.},
      image          = {https://www.texttechnologylab.org/wp-content/uploads/2015/09/DieDynamikSozialerUndSprachlicherNetzwerke.jpg},
      pagetotal      = {240},
      year           = 2013
    }
  • [PDF] M. Z. Islam and A. Mehler, “Automatic Readability Classification of Crowd-Sourced Data based on Linguistic and Information-Theoretic Features,” in 14th International Conference on Intelligent Text Processing and Computational Linguistics, 2013.
    [Abstract] [BibTeX]

    This paper presents a classifier of text readability                    based on information-theoretic features. The classifier                    was developed based on a linguistic approach to                    readability that explores lexical, syntactic and                    semantic features. For this evaluation we extracted a                    corpus of 645 articles from Wikipedia together with                    their quality judgments. We show that                    information-theoretic features perform as well as their                    linguistic counterparts even if we explore several                    linguistic levels at once.
    @InProceedings{Islam:Mehler:2013:a,
      Author         = {Islam, Md. Zahurul and Mehler, Alexander},
      Title          = {Automatic Readability Classification of Crowd-Sourced
                       Data based on Linguistic and Information-Theoretic
                       Features},
      BookTitle      = {14th International Conference on Intelligent Text
                       Processing and Computational Linguistics},
      abstract       = {This paper presents a classifier of text readability
                       based on information-theoretic features. The classifier
                       was developed based on a linguistic approach to
                       readability that explores lexical, syntactic and
                       semantic features. For this evaluation we extracted a
                       corpus of 645 articles from Wikipedia together with
                       their quality judgments. We show that
                       information-theoretic features perform as well as their
                       linguistic counterparts even if we explore several
                       linguistic levels at once.},
      owner          = {zahurul},
      pdf            = {http://www.cys.cic.ipn.mx/ojs/index.php/CyS/article/download/1516/1497},
      timestamp      = {2013.01.22},
      website        = {http://www.redalyc.org/articulo.oa?id=61527437002},
      year           = 2013
    }
  • A. Mehler, C. Stegbauer, and R. Gleim, “Zur Struktur und Dynamik der kollaborativen Plagiatsdokumentation am Beispiel des GuttenPlag Wiki: eine Vorstudie,” in Die Dynamik sozialer und sprachlicher Netzwerke. Konzepte, Methoden und empirische Untersuchungen am Beispiel des WWW, B. Frank-Job, A. Mehler, and T. Sutter, Eds., Wiesbaden: VS Verlag, 2013.
    [BibTeX]

    @InCollection{Mehler:Stegbauer:Gleim:2013,
      Author         = {Mehler, Alexander and Stegbauer, Christian and Gleim,
                       Rüdiger},
      Title          = {Zur Struktur und Dynamik der kollaborativen
                       Plagiatsdokumentation am Beispiel des GuttenPlag Wiki:
                       eine Vorstudie},
      BookTitle      = {Die Dynamik sozialer und sprachlicher Netzwerke.
                       Konzepte, Methoden und empirische Untersuchungen am
                       Beispiel des WWW},
      Publisher      = {VS Verlag},
      Editor         = {Frank-Job, Barbara and Mehler, Alexander and Sutter,
                       Tilman},
      Address        = {Wiesbaden},
      year           = 2013
    }
  • N. Beckage, M. S. Vitevitch, A. Mehler, and E. Colunga, “Using Complex Network Analysis in the Cognitive Sciences,” in Proceedings of the 35th Annual Meeting of the Cognitive Science Society, CogSci 2013, Berlin, Germany, July 31 – August 3, 2013, 2013.
    [BibTeX]

    @InProceedings{Beckage:et:al:2013,
      Author         = {Nicole Beckage and Michael S. Vitevitch and Alexander
                       Mehler and Eliana Colunga},
      Title          = {Using Complex Network Analysis in the Cognitive
                       Sciences},
      BookTitle      = {Proceedings of the 35th Annual Meeting of the
                       Cognitive Science Society, CogSci 2013, Berlin,
                       Germany, July 31 - August 3, 2013},
      Editor         = {Markus Knauff and Michael Pauen and Natalie Sebanz and
                       Ipke Wachsmuth},
      Publisher      = {cognitivesciencesociety.org},
      year           = 2013
    }

2012 (15)

  • A. Mehler and L. Romary, Handbook of Technical Communication, Berlin: De Gruyter Mouton, 2012.
    [BibTeX]

    @Book{Mehler:Romary:2012,
      Author         = {Mehler, Alexander and Romary, Laurent},
      Title          = {Handbook of Technical Communication},
      Publisher      = {De Gruyter Mouton},
      Address        = {Berlin},
      image          = {https://www.texttechnologylab.org/wp-content/uploads/2015/09/HandbookTechnicalCommunication.jpg},
      pagetotal      = {839},
      year           = 2012
    }
  • [PDF] A. Mehler, C. Stegbauer, and R. Gleim, “Latent Barriers in Wiki-based Collaborative Writing,” in Proceedings of the Wikipedia Academy: Research and Free Knowledge. June 29 – July 1 2012, Berlin, 2012.
    [BibTeX]

    @InProceedings{Mehler:Stegbauer:Gleim:2012:b,
      Author         = {Mehler, Alexander and Stegbauer, Christian and Gleim,
                       Rüdiger},
      Title          = {Latent Barriers in Wiki-based Collaborative Writing},
      BookTitle      = {Proceedings of the Wikipedia Academy: Research and
                       Free Knowledge. June 29 - July 1 2012},
      Address        = {Berlin},
      month          = {July},
      pdf            = {https://www.texttechnologylab.org/wp-content/uploads/2015/08/12_Paper_Alexander_Mehler_Christian_Stegbauer_Ruediger_Gleim.pdf},
      year           = 2012
    }
  • [PDF] M. Z. Islam, A. Mehler, and R. Rahman, “Text Readability Classification of Textbooks of a Low-Resource Language,” in Accepted in the 26th Pacific Asia Conference on Language, Information, and Computation (PACLIC 26), 2012.
    [Abstract] [BibTeX]

    There are many languages considered to be low-density                    languages, either because the population speaking the                    language is not very large, or because insufficient                    digitized text material is available in the language                    even though millions of people speak the language.                    Bangla is one of the latter ones. Readability                    classification is an important Natural Language                    Processing (NLP) application that can be used to judge                    the quality of documents and assist writers to locate                    possible problems. This paper presents a readability                    classifier of Bangla textbook documents based on                    information-theoretic and lexical features. The                    features proposed in this paper result in an F-score                    that is 50% higher than that for traditional                    readability formulas.
    @InProceedings{Islam:Mehler:Rahman:2012,
      Author         = {Islam, Md. Zahurul and Mehler, Alexander and Rahman,
                       Rashedur},
      Title          = {Text Readability Classification of Textbooks of a
                       Low-Resource Language},
      BookTitle      = {Accepted in the 26th Pacific Asia Conference on
                       Language, Information, and Computation (PACLIC 26)},
      abstract       = {There are many languages considered to be low-density
                       languages, either because the population speaking the
                       language is not very large, or because insufficient
                       digitized text material is available in the language
                       even though millions of people speak the language.
                       Bangla is one of the latter ones. Readability
                       classification is an important Natural Language
                       Processing (NLP) application that can be used to judge
                       the quality of documents and assist writers to locate
                       possible problems. This paper presents a readability
                       classifier of Bangla textbook documents based on
                       information-theoretic and lexical features. The
                       features proposed in this paper result in an F-score
                       that is 50% higher than that for traditional
                       readability formulas.},
      owner          = {zahurul},
      pdf            = {http://www.aclweb.org/anthology/Y12-1059},
      timestamp      = {2012.08.14},
      website        = {http://www.researchgate.net/publication/256648250_Text_Readability_Classification_of_Textbooks_of_a_Low-Resource_Language},
      year           = 2012
    }
  • A. Mehler, L. Romary, and D. Gibbon, “Introduction: Framing Technical Communication,” in Handbook of Technical Communication, A. Mehler, L. Romary, and D. Gibbon, Eds., Berlin and Boston: De Gruyter Mouton, 2012, vol. 8, pp. 1-26.
    [BibTeX]

    @InCollection{Mehler:Romary:Gibbon:2012,
      Author         = {Mehler, Alexander and Romary, Laurent and Gibbon,
                       Dafydd},
      Title          = {Introduction: Framing Technical Communication},
      BookTitle      = {Handbook of Technical Communication},
      Publisher      = {De Gruyter Mouton},
      Editor         = {Alexander Mehler and Laurent Romary and Dafydd Gibbon},
      Volume         = {8},
      Series         = {Handbooks of Applied Linguistics},
      Pages          = {1-26},
      Address        = {Berlin and Boston},
      year           = 2012
    }
  • [PDF] A. Mehler and A. Lücking, “Pathways of Alignment between Gesture and Speech: Assessing Information Transmission in Multimodal Ensembles,” in Proceedings of the International Workshop on Formal and Computational Approaches to Multimodal Communication under the auspices of ESSLLI 2012, Opole, Poland, 6-10 August, 2012.
    [Abstract] [BibTeX]

    We present an empirical account of multimodal                    ensembles based on Hjelmslev’s notion of selection.                    This is done to get measurable evidence for the                    existence of speech-and-gesture ensembles. Utilizing                    information theory, we show that there is an                    information transmission that makes a gestures’                    representation technique predictable when merely                    knowing its lexical affiliate – in line with the                    notion of the primacy of language. Thus, there is                    evidence for a one-way coupling – going from words to                    gestures – that leads to speech-and-gesture alignment                    and underlies the constitution of multimodal ensembles.
    @InProceedings{Mehler:Luecking:2012:d,
      Author         = {Mehler, Alexander and Lücking, Andy},
      Title          = {Pathways of Alignment between Gesture and Speech:
                       Assessing Information Transmission in Multimodal
                       Ensembles},
      BookTitle      = {Proceedings of the International Workshop on Formal
                       and Computational Approaches to Multimodal
                       Communication under the auspices of ESSLLI 2012, Opole,
                       Poland, 6-10 August},
      Editor         = {Gianluca Giorgolo and Katya Alahverdzhieva},
      abstract       = {We present an empirical account of multimodal
                       ensembles based on Hjelmslev’s notion of selection.
                       This is done to get measurable evidence for the
                       existence of speech-and-gesture ensembles. Utilizing
                       information theory, we show that there is an
                       information transmission that makes a gestures’
                       representation technique predictable when merely
                       knowing its lexical affiliate – in line with the
                       notion of the primacy of language. Thus, there is
                       evidence for a one-way coupling – going from words to
                       gestures – that leads to speech-and-gesture alignment
                       and underlies the constitution of multimodal ensembles.},
      keywords       = {wikinect},
      pdf            = {https://www.texttechnologylab.org/wp-content/uploads/2016/06/Mehler_Luecking_FoCoMC2012-2.pdf},
      website        = {http://www.researchgate.net/publication/268368670_Pathways_of_Alignment_between_Gesture_and_Speech_Assessing_Information_Transmission_in_Multimodal_Ensembles},
      year           = 2012
    }
  • [PDF] A. Mehler and A. Lücking, “WikiNect: Towards a Gestural Writing System for Kinetic Museum Wikis,” in Proceedings of the International Workshop On User Experience in e-Learning and Augmented Technologies in Education (UXeLATE 2012) in Conjunction with ACM Multimedia 2012, 29 October- 2 November, Nara, Japan, 2012, pp. 7-12.
    [Abstract] [BibTeX]

    We introduce WikiNect as a kinetic museum information                    system that allows museum visitors to give on-site                    feedback about exhibitions. To this end, WikiNect                    integrates three approaches to Human-Computer                    Interaction (HCI): games with a purpose, wiki-based                    collaborative writing and kinetic text-technologies.                    Our aim is to develop kinetic technologies as a new                    paradigm of HCI. They dispense with classical                    interfaces (e.g., keyboards) in that they build on                    non-contact modes of communication like gestures or                    facial expressions as input displays. In this paper, we                    introduce the notion of gestural writing as a kinetic                    text-technology that underlies WikiNect to enable                    museum visitors to communicate their feedback. The                    basic idea is to explore sequences of gestures that                    share the semantic expressivity of verbally manifested                    speech acts. Our task is to identify such gestures that                    are learnable on-site in the usage scenario of                    WikiNect. This is done by referring to so-called                    transient gestures as part of multimodal ensembles,                    which are candidate gestures of the desired                    functionality. 
    @InProceedings{Mehler:Luecking:2012:c,
      Author         = {Mehler, Alexander and Lücking, Andy},
      Title          = {WikiNect: Towards a Gestural Writing System for
                       Kinetic Museum Wikis},
      BookTitle      = {Proceedings of the International Workshop On User
                       Experience in e-Learning and Augmented Technologies in
                       Education (UXeLATE 2012) in Conjunction with ACM
                       Multimedia 2012, 29 October- 2 November, Nara, Japan},
      Pages          = {7-12},
      abstract       = {We introduce WikiNect as a kinetic museum information
                       system that allows museum visitors to give on-site
                       feedback about exhibitions. To this end, WikiNect
                       integrates three approaches to Human-Computer
                       Interaction (HCI): games with a purpose, wiki-based
                       collaborative writing and kinetic text-technologies.
                       Our aim is to develop kinetic technologies as a new
                       paradigm of HCI. They dispense with classical
                       interfaces (e.g., keyboards) in that they build on
                       non-contact modes of communication like gestures or
                       facial expressions as input displays. In this paper, we
                       introduce the notion of gestural writing as a kinetic
                       text-technology that underlies WikiNect to enable
                       museum visitors to communicate their feedback. The
                       basic idea is to explore sequences of gestures that
                       share the semantic expressivity of verbally manifested
                       speech acts. Our task is to identify such gestures that
                       are learnable on-site in the usage scenario of
                       WikiNect. This is done by referring to so-called
                       transient gestures as part of multimodal ensembles,
                       which are candidate gestures of the desired
                       functionality. },
      keywords       = {wikinect},
      pdf            = {https://www.texttechnologylab.org/wp-content/uploads/2015/08/UXeLATE2012-copyright.pdf},
      website        = {http://www.researchgate.net/publication/262319200_WikiNect_towards_a_gestural_writing_system_for_kinetic_museum_wikis},
      year           = 2012
    }
  • [PDF] R. Gleim, A. Mehler, and A. Ernst, “SOA implementation of the eHumanities Desktop,” in Proceedings of the Workshop on Service-oriented Architectures (SOAs) for the Humanities: Solutions and Impacts, Digital Humanities 2012, Hamburg, Germany, 2012.
    [Abstract] [BibTeX]

    The eHumanities Desktop is a system which allows users                    to upload, organize and share resources using a web                    interface. Furthermore resources can be processed,                    annotated and analyzed in various ways. Registered                    users can organize themselves in groups and                    collaboratively work on their data. The eHumanities                    Desktop is platform independent and runs in a web                    browser. This paper presents the system focusing on its                    service orientation and process management.
    @InProceedings{Gleim:Mehler:Ernst:2012,
      Author         = {Gleim, Rüdiger and Mehler, Alexander and Ernst,
                       Alexandra},
      Title          = {SOA implementation of the eHumanities Desktop},
      BookTitle      = {Proceedings of the Workshop on Service-oriented
                       Architectures (SOAs) for the Humanities: Solutions and
                       Impacts, Digital Humanities 2012, Hamburg, Germany},
      abstract       = {The eHumanities Desktop is a system which allows users
                       to upload, organize and share resources using a web
                       interface. Furthermore resources can be processed,
                       annotated and analyzed in various ways. Registered
                       users can organize themselves in groups and
                       collaboratively work on their data. The eHumanities
                       Desktop is platform independent and runs in a web
                       browser. This paper presents the system focusing on its
                       service orientation and process management.},
      pdf            = {https://www.texttechnologylab.org/wp-content/uploads/2015/08/dhc2012.pdf},
      year           = 2012
    }
  • [PDF] A. Mehler and C. Stegbauer, “On the Self-similarity of Intertextual Structures in Wikipedia,” in Proceedings of the HotSocial ’12: The First ACM International Workshop on Hot Topics on Interdisciplinary Social Networks Research, Beijing, China, 2012, pp. 65-68.
    [BibTeX]

    @InProceedings{Mehler:Stegbauer:2012,
      Author         = {Mehler, Alexander and Stegbauer, Christian},
      Title          = {On the Self-similarity of Intertextual Structures in
                       Wikipedia},
      BookTitle      = {Proceedings of the HotSocial '12: The First ACM
                       International Workshop on Hot Topics on
                       Interdisciplinary Social Networks Research},
      Editor         = {Xiaoming Fu and Peter Gloor and Jie Tang},
      Pages          = {65-68},
      Address        = {Beijing, China},
      pdf            = {http://wan.poly.edu/KDD2012/forms/workshop/HotSocial12/doc/p64_mehler.pdf},
      website        = {http://dl.acm.org/citation.cfm?id=2392633&bnc=1},
      year           = 2012
    }
  • A. Mehler, S. Schwandt, R. Gleim, and A. Ernst, “Inducing Linguistic Networks from Historical Corpora: Towards a New Method in Historical Semantics,” in Proceedings of the Conference on New Methods in Historical Corpora, P. Bennett, M. Durrell, S. Scheible, and R. J. Whitt, Eds., Tübingen: Narr, 2012, vol. 3, pp. 257-274.
    [BibTeX]

    @InCollection{Mehler:Schwandt:Gleim:Ernst:2012,
      Author         = {Mehler, Alexander and Schwandt, Silke and Gleim,
                       Rüdiger and Ernst, Alexandra},
      Title          = {Inducing Linguistic Networks from Historical Corpora:
                       Towards a New Method in Historical Semantics},
      BookTitle      = {Proceedings of the Conference on New Methods in
                       Historical Corpora},
      Publisher      = {Narr},
      Editor         = {Paul Bennett and Martin Durrell and Silke Scheible and
                       Richard J. Whitt},
      Volume         = {3},
      Series         = {Corpus linguistics and Interdisciplinary perspectives
                       on language (CLIP)},
      Pages          = {257--274},
      Address        = {Tübingen},
      year           = 2012
    }
  • [DOI] A. Mehler, A. Lücking, and P. Menke, “Assessing Cognitive Alignment in Different Types of Dialog by means of a Network Model,” Neural Networks, vol. 32, pp. 159-164, 2012.
    [Abstract] [BibTeX]

    We present a network model of dialog lexica, called                    TiTAN (Two-layer Time-Aligned Network) series. TiTAN                    series capture the formation and structure of dialog                    lexica in terms of serialized graph representations.                    The dynamic update of TiTAN series is driven by the                    dialog-inherent timing of turn-taking. The model                    provides a link between neural, connectionist                    underpinnings of dialog lexica on the one hand and                    observable symbolic behavior on the other. On the                    neural side, priming and spreading activation are                    modeled in terms of TiTAN networking. On the symbolic                    side, TiTAN series account for cognitive alignment in                    terms of the structural coupling of the linguistic                    representations of dialog partners. This structural                    stance allows us to apply TiTAN in machine learning of                    data of dialogical alignment. In previous studies, it                    has been shown that aligned dialogs can be                    distinguished from non-aligned ones by means of TiTAN                    -based modeling. Now, we simultaneously apply this                    model to two types of dialog: task-oriented,                    experimentally controlled dialogs on the one hand and                    more spontaneous, direction giving dialogs on the                    other. We ask whether it is possible to separate                    aligned dialogs from non-aligned ones in a                    type-crossing way. Starting from a recent experiment                    (Mehler, Lücking, & Menke, 2011a), we show that such                    a type-crossing classification is indeed possible. This                    hints at a structural fingerprint left by alignment in                    networks of linguistic items that are routinely                    co-activated during conversation.
    @Article{Mehler:Luecking:Menke:2012,
      Author         = {Mehler, Alexander and Lücking, Andy and Menke, Peter},
      Title          = {Assessing Cognitive Alignment in Different Types of
                       Dialog by means of a Network Model},
      Journal        = {Neural Networks},
      Volume         = {32},
      Pages          = {159-164},
      abstract       = {We present a network model of dialog lexica, called
                       TiTAN (Two-layer Time-Aligned Network) series. TiTAN
                       series capture the formation and structure of dialog
                       lexica in terms of serialized graph representations.
                       The dynamic update of TiTAN series is driven by the
                       dialog-inherent timing of turn-taking. The model
                       provides a link between neural, connectionist
                       underpinnings of dialog lexica on the one hand and
                       observable symbolic behavior on the other. On the
                       neural side, priming and spreading activation are
                       modeled in terms of TiTAN networking. On the symbolic
                       side, TiTAN series account for cognitive alignment in
                       terms of the structural coupling of the linguistic
                       representations of dialog partners. This structural
                       stance allows us to apply TiTAN in machine learning of
                       data of dialogical alignment. In previous studies, it
                       has been shown that aligned dialogs can be
                       distinguished from non-aligned ones by means of TiTAN
                       -based modeling. Now, we simultaneously apply this
                       model to two types of dialog: task-oriented,
                       experimentally controlled dialogs on the one hand and
                       more spontaneous, direction giving dialogs on the
                       other. We ask whether it is possible to separate
                       aligned dialogs from non-aligned ones in a
                       type-crossing way. Starting from a recent experiment
                       (Mehler, Lücking, \& Menke, 2011a), we show that such
                       a type-crossing classification is indeed possible. This
                       hints at a structural fingerprint left by alignment in
                       networks of linguistic items that are routinely
                       co-activated during conversation.},
      doi            = {10.1016/j.neunet.2012.02.013},
      website        = {http://www.sciencedirect.com/science/article/pii/S0893608012000421},
      year           = 2012
    }
  • [PDF] M. Z. Islam and A. Mehler, “Customization of the Europarl Corpus for Translation Studies,” in Proceedings of the 8th International Conference on Language Resources and Evaluation (LREC), 2012.
    [Abstract] [BibTeX]

    Currently, the area of translation studies lacks                    corpora by which translation scholars can validate                    their theoretical claims, for example, regarding the                    scope of the characteristics of the translation                    relation. In this paper, we describe a customized                    resource in the area of translation studies that mainly                    addresses research on the properties of the translation                    relation. Our experimental results show that the                    Type-Token-Ratio (TTR) is not a universally valid                    indicator of the simplification of translation.
    @InProceedings{Islam:Mehler:2012:a,
      Author         = {Islam, Md. Zahurul and Mehler, Alexander},
      Title          = {Customization of the Europarl Corpus for Translation
                       Studies},
      BookTitle      = {Proceedings of the 8th International Conference on
                       Language Resources and Evaluation (LREC)},
      abstract       = {Currently, the area of translation studies lacks
                       corpora by which translation scholars can validate
                       their theoretical claims, for example, regarding the
                       scope of the characteristics of the translation
                       relation. In this paper, we describe a customized
                       resource in the area of translation studies that mainly
                       addresses research on the properties of the translation
                       relation. Our experimental results show that the
                       Type-Token-Ratio (TTR) is not a universally valid
                       indicator of the simplification of translation.},
      owner          = {zahurul},
      pdf            = {http://www.lrec-conf.org/proceedings/lrec2012/pdf/729_Paper.pdf},
      timestamp      = {2012.02.02},
      year           = 2012
    }
  • A. Lücking and T. Pfeiffer, “Framing Multimodal Technical Communication. With Focal Points in Speech-Gesture-Integration and Gaze Recognition,” in Handbook of Technical Communication, A. Mehler, L. Romary, and D. Gibbon, Eds., De Gruyter Mouton, 2012, vol. 8, pp. 591-644.
    [BibTeX]

    @InCollection{Luecking:Pfeiffer:2012,
      Author         = {Lücking, Andy and Pfeiffer, Thies},
      Title          = {Framing Multimodal Technical Communication. With Focal
                       Points in Speech-Gesture-Integration and Gaze
                       Recognition},
      BookTitle      = {Handbook of Technical Communication},
      Publisher      = {De Gruyter Mouton},
      Editor         = {Alexander Mehler and Laurent Romary and Dafydd Gibbon},
      Volume         = {8},
      Series         = {Handbooks of Applied Linguistics},
      Chapter        = {18},
      Pages          = {591-644},
      website        = {http://www.degruyter.com/view/books/9783110224948/9783110224948.591/9783110224948.591.xml},
      year           = 2012
    }
  • P. Kubina, O. Abramov, and A. Lücking, “Barrier-free Communication,” in Handbook of Technical Communication, A. Mehler and L. Romary, Eds., Berlin and Boston: De Gruyter Mouton, 2012, vol. 8, pp. 645-706.
    [BibTeX]

    @InCollection{Kubina:Abramov:Luecking:2012,
      Author         = {Kubina, Petra and Abramov, Olga and Lücking, Andy},
      Title          = {Barrier-free Communication},
      BookTitle      = {Handbook of Technical Communication},
      Publisher      = {De Gruyter Mouton},
      Editor         = {Alexander Mehler and Laurent Romary},
      Volume         = {8},
      Series         = {Handbooks of Applied Linguistics},
      Chapter        = {19},
      Pages          = {645-706},
      Address        = {Berlin and Boston},
      editora        = {Dafydd Gibbon},
      editoratype    = {collaborator},
      website        = {http://www.degruyter.com/view/books/9783110224948/9783110224948.645/9783110224948.645.xml},
      year           = 2012
    }
  • [PDF] [http://kyoto.evolang.org/] A. Lücking and A. Mehler, “What’s the Scope of the Naming Game? Constraints on Semantic Categorization,” in Proceedings of the 9th International Conference on the Evolution of Language, Kyoto, Japan, 2012, pp. 196-203.
    [Abstract] [BibTeX]

    The Naming Game (NG) has become a vivid research                    paradigm for simulation studies on language evolution                    and the establishment of naming conventions. Recently,                    NGs were used for reconstructing the creation of                    linguistic categories, most notably for color terms. We                    recap the functional principle of NGs and the latter                    Categorization Games (CGs) and evaluate them in the                    light of semantic data of linguistic categorization                    outside the domain of colors. This comparison reveals                    two specifics of the CG paradigm: Firstly, the emerging                    categories draw basically on the predefined topology of                    the learning domain. Secondly, the kind of categories                    that can be learnt in CGs is bound to                    context-independent intersective categories. This                    suggests that the NG and the CG focus on a special                    aspect of natural language categorization, which                    disregards context-sensitive categories used in a                    non-compositional manner.
    @InProceedings{Luecking:Mehler:2012,
      Author         = {Lücking, Andy and Mehler, Alexander},
      Title          = {What's the Scope of the Naming Game? Constraints on
                       Semantic Categorization},
      BookTitle      = {Proceedings of the 9th International Conference on the
                       Evolution of Language},
      Pages          = {196-203},
      Address        = {Kyoto, Japan},
      abstract       = {The Naming Game (NG) has become a vivid research
                       paradigm for simulation studies on language evolution
                       and the establishment of naming conventions. Recently,
                       NGs were used for reconstructing the creation of
                       linguistic categories, most notably for color terms. We
                       recap the functional principle of NGs and the latter
                       Categorization Games (CGs) and evaluate them in the
                       light of semantic data of linguistic categorization
                       outside the domain of colors. This comparison reveals
                       two specifics of the CG paradigm: Firstly, the emerging
                       categories draw basically on the predefined topology of
                       the learning domain. Secondly, the kind of categories
                       that can be learnt in CGs is bound to
                       context-independent intersective categories. This
                       suggests that the NG and the CG focus on a special
                       aspect of natural language categorization, which
                       disregards context-sensitive categories used in a
                       non-compositional manner.},
      pdf            = {https://www.texttechnologylab.org/wp-content/uploads/2015/08/Evolang2012-AL_AM.pdf},
      url            = {http://kyoto.evolang.org/},
      website        = {https://www.researchgate.net/publication/267858061_WHAT'S_THE_SCOPE_OF_THE_NAMING_GAME_CONSTRAINTS_ON_SEMANTIC_CATEGORIZATION},
      year           = 2012
    }
  • [PDF] M. Sukhareva, M. Z. Islam, A. Hoenen, and A. Mehler, “A Three-step Model of Language Detection in Multilingual Ancient Texts,” in Proceedings of Workshop on Annotation of Corpora for Research in the Humanities, Heidelberg, Germany, 2012.
    [Abstract] [BibTeX]

    Ancient corpora contain various multilingual patterns.                    This imposes numerous problems on their manual                    annotation and automatic processing. We introduce a                    lexicon building system, called Lexicon Expander, that                    has an integrated language detection module, Language                    Detection (LD) Toolkit. The Lexicon Expander                    post-processes the output of the LD Toolkit which leads                    to the improvement of f-score and accuracy values.                    Furthermore, the functionality of the Lexicon Expander                    also includes manual editing of lexical entries and                    automatic morphological expansion by means of a                    morphological grammar.
    @InProceedings{Sukhareva:Islam:Hoenen:Mehler:2012,
      Author         = {Sukhareva, Maria and Islam, Md. Zahurul and Hoenen,
                       Armin and Mehler, Alexander},
      Title          = {A Three-step Model of Language Detection in
                       Multilingual Ancient Texts},
      BookTitle      = {Proceedings of Workshop on Annotation of Corpora for
                       Research in the Humanities},
      Address        = {Heidelberg, Germany},
      abstract       = {Ancient corpora contain various multilingual patterns.
                       This imposes numerous problems on their manual
                       annotation and automatic processing. We introduce a
                       lexicon building system, called Lexicon Expander, that
                       has an integrated language detection module, Language
                       Detection (LD) Toolkit. The Lexicon Expander
                       post-processes the output of the LD Toolkit which leads
                       to the improvement of f-score and accuracy values.
                       Furthermore, the functionality of the Lexicon Expander
                       also includes manual editing of lexical entries and
                       automatic morphological expansion by means of a
                       morphological grammar.},
      pdf            = {https://www.texttechnologylab.org/wp-content/uploads/2015/08/sukhareva_islam_hoenen_mehler_2011.pdf},
      website        = {https://www.academia.edu/2236625/A_Three-step_Model_of_Language_Detection_in_Multilingual_Ancient_Texts},
      year           = 2012
    }

2011 (21)

  • [PDF] A. Lücking and A. Mehler, “A Model of Complexity Levels of Meaning Constitution in Simulation Models of Language Evolution,” International Journal of Signs and Semiotic Systems, vol. 1, iss. 1, pp. 18-38, 2011.
    [Abstract] [BibTeX]

    Currently, some simulative accounts exist within                    dynamic or evolutionary frameworks that are concerned                    with the development of linguistic categories within a                    population of language users. Although these studies                    mostly emphasize that their models are abstract, the                    paradigm categorization domain is preferably that of                    colors. In this paper, the authors argue that color                    adjectives are special predicates in both linguistic                    and metaphysical terms: semantically, they are                    intersective predicates, metaphysically, color                    properties can be empirically reduced onto purely                    physical properties. The restriction of categorization                    simulations to the color paradigm systematically leads                    to ignoring two ubiquitous features of natural language                    predicates, namely relativity and context-dependency.                    Therefore, the models for simulation models of                    linguistic categories are not able to capture the                    formation of categories like perspective-dependent                    predicates ‘left’ and ‘right’, subsective                    predicates like ‘small’ and ‘big’, or                    predicates that make reference to abstract objects like                    ‘I prefer this kind of situation’. The authors                    develop a three-dimensional grid of ascending                    complexity that is partitioned according to the                    semiotic triangle. They also develop a conceptual model                    in the form of a decision grid by means of which the                    complexity level of simulation models of linguistic                    categorization can be assessed in linguistic terms.
    @Article{Luecking:Mehler:2011,
      Author         = {Lücking, Andy and Mehler, Alexander},
      Title          = {A Model of Complexity Levels of Meaning Constitution
                       in Simulation Models of Language Evolution},
      Journal        = {International Journal of Signs and Semiotic Systems},
      Volume         = {1},
      Number         = {1},
      Pages          = {18-38},
      abstract       = {Currently, some simulative accounts exist within
                       dynamic or evolutionary frameworks that are concerned
                       with the development of linguistic categories within a
                       population of language users. Although these studies
                       mostly emphasize that their models are abstract, the
                       paradigm categorization domain is preferably that of
                       colors. In this paper, the authors argue that color
                       adjectives are special predicates in both linguistic
                       and metaphysical terms: semantically, they are
                       intersective predicates, metaphysically, color
                       properties can be empirically reduced onto purely
                       physical properties. The restriction of categorization
                       simulations to the color paradigm systematically leads
                       to ignoring two ubiquitous features of natural language
                       predicates, namely relativity and context-dependency.
                       Therefore, the models for simulation models of
                       linguistic categories are not able to capture the
                       formation of categories like perspective-dependent
                       predicates ‘left’ and ‘right’, subsective
                       predicates like ‘small’ and ‘big’, or
                       predicates that make reference to abstract objects like
                       ‘I prefer this kind of situation’. The authors
                       develop a three-dimensional grid of ascending
                       complexity that is partitioned according to the
                       semiotic triangle. They also develop a conceptual model
                       in the form of a decision grid by means of which the
                       complexity level of simulation models of linguistic
                       categorization can be assessed in linguistic terms.},
      pdf            = {https://www.texttechnologylab.org/wp-content/uploads/2015/08/luecking_mehler_article_IJSSS.pdf},
      year           = 2011
    }
  • [DOI] A. Mehler, O. Abramov, and N. Diewald, “Geography of Social Ontologies: Testing a Variant of the Sapir-Whorf Hypothesis in the Context of Wikipedia,” Computer Speech and Language, vol. 25, iss. 3, pp. 716-740, 2011.
    [Abstract] [BibTeX]

    In this article, we test a variant of the Sapir-Whorf                    Hypothesis in the area of complex network theory. This                    is done by analyzing social ontologies as a new                    resource for automatic language classification. Our                    method is to solely explore structural features of                    social ontologies in order to predict family                    resemblances of languages used by the corresponding                    communities to build these ontologies. This approach is                    based on a reformulation of the Sapir-Whorf Hypothesis                    in terms of distributed cognition. Starting from a                    corpus of 160 Wikipedia-based social ontologies, we                    test our variant of the Sapir-Whorf Hypothesis by                    several experiments, and find out that we outperform                    the corresponding baselines. All in all, the article                    develops an approach to classify linguistic networks of                    tens of thousands of vertices by exploring a small                    range of mathematically well-established topological                    indices.
    @Article{Mehler:Abramov:Diewald:2011:a,
      Author         = {Mehler, Alexander and Abramov, Olga and Diewald, Nils},
      Title          = {Geography of Social Ontologies: Testing a Variant of
                       the Sapir-Whorf Hypothesis in the Context of Wikipedia},
      Journal        = {Computer Speech and Language},
      Volume         = {25},
      Number         = {3},
      Pages          = {716-740},
      abstract       = {In this article, we test a variant of the Sapir-Whorf
                       Hypothesis in the area of complex network theory. This
                       is done by analyzing social ontologies as a new
                       resource for automatic language classification. Our
                       method is to solely explore structural features of
                       social ontologies in order to predict family
                       resemblances of languages used by the corresponding
                       communities to build these ontologies. This approach is
                       based on a reformulation of the Sapir-Whorf Hypothesis
                       in terms of distributed cognition. Starting from a
                       corpus of 160 Wikipedia-based social ontologies, we
                       test our variant of the Sapir-Whorf Hypothesis by
                       several experiments, and find out that we outperform
                       the corresponding baselines. All in all, the article
                       develops an approach to classify linguistic networks of
                       tens of thousands of vertices by exploring a small
                       range of mathematically well-established topological
                       indices.},
      doi            = {10.1016/j.csl.2010.05.006},
      website        = {http://www.sciencedirect.com/science/article/pii/S0885230810000434},
      year           = 2011
    }
  • A. Mehler, “Social Ontologies as Generalized Nearly Acyclic Directed Graphs: A Quantitative Graph Model of Social Ontologies by Example of Wikipedia,” in Towards an Information Theory of Complex Networks: Statistical Methods and Applications, M. Dehmer, F. Emmert-Streib, and A. Mehler, Eds., Boston/Basel: Birkhäuser, 2011, pp. 259-319.
    [BibTeX]

    @InCollection{Mehler:2011:c,
      Author         = {Mehler, Alexander},
      Title          = {Social Ontologies as Generalized Nearly Acyclic
                       Directed Graphs: A Quantitative Graph Model of Social
                       Ontologies by Example of Wikipedia},
      BookTitle      = {Towards an Information Theory of Complex Networks:
                       Statistical Methods and Applications},
      Publisher      = {Birkh{\"a}user},
      Editor         = {Dehmer, Matthias and Emmert-Streib, Frank and Mehler,
                       Alexander},
      Pages          = {259-319},
      Address        = {Boston/Basel},
      year           = 2011
    }
  • [PDF] A. Mehler and A. Lücking, “A Graph Model of Alignment in Multilog,” in Proceedings of IEEE Africon 2011, Zambia, 2011.
    [BibTeX]

    @InProceedings{Mehler:Luecking:2011,
      Author         = {Mehler, Alexander and Lücking, Andy},
      Title          = {A Graph Model of Alignment in Multilog},
      BookTitle      = {Proceedings of IEEE Africon 2011},
      Series         = {IEEE Africon},
      Address        = {Zambia},
      Organization   = {IEEE},
      month          = {9},
      pdf            = {https://www.texttechnologylab.org/wp-content/uploads/2015/08/africon2011-paper-Alexander_Mehler_Andy_Luecking.pdf},
      website        = {https://www.researchgate.net/publication/267941012_A_Graph_Model_of_Alignment_in_Multilog},
      year           = 2011
    }
  • [PDF] C. Stegbauer and A. Mehler, “Positionssensitive Dekomposition von Potenzgesetzen am Beispiel von Wikipedia-basierten Kollaborationsnetzwerken,” in Proceedings of the 4th Workshop Digital Social Networks at INFORMATIK 2011: Informatik schafft Communities, Oct 4-7, 2011, Berlin, 2011.
    [BibTeX]

    @InProceedings{Stegbauer:Mehler:2011,
      Author         = {Stegbauer, Christian and Mehler, Alexander},
      Title          = {Positionssensitive Dekomposition von Potenzgesetzen am
                       Beispiel von Wikipedia-basierten
                       Kollaborationsnetzwerken},
      BookTitle      = {Proceedings of the 4th Workshop Digital Social
                       Networks at INFORMATIK 2011: Informatik schafft
                       Communities, Oct 4-7, 2011, Berlin},
      pdf            = {http://www.user.tu-berlin.de/komm/CD/paper/090423.pdf},
      specialnote    = {Best Paper Award},
      specialnotewebsite = {http://www.digitale-soziale-netze.de/gi-workshop/index.php?site=review2011},
      year           = 2011
    }
  • [PDF] M. Lösch, U. Waltinger, W. Horstmann, and A. Mehler, “Building a DDC-annotated Corpus from OAI Metadata,” Journal of Digital Information, vol. 12, iss. 2, 2011.
    [Abstract] [BibTeX]

    Checking for readability or simplicity of texts is                    important for many institutional and individual users.                    Formulas for approximately measuring text readability                    have a long tradition. Usually, they exploit                    surface-oriented indicators like sentence length, word                    length, word frequency, etc. However, in many cases,                    this information is not adequate to realistically                    approximate the cognitive difficulties a person can                    have to understand a text. Therefore we use deep                    syntactic and semantic indicators in addition. The                    syntactic information is represented by a dependency                    tree, the semantic information by a semantic network.                    Both representations are automatically generated by a                    deep syntactico-semantic analysis. A global readability                    score is determined by applying a nearest neighbor                    algorithm on 3,000 ratings of 300 test persons. The                    evaluation showed that the deep syntactic and semantic                    indicators lead to promising results comparable to the                    best surface-based indicators. The combination of deep                    and shallow indicators leads to an improvement over                    shallow indicators alone. Finally, a graphical user                    interface was developed which highlights difficult                    passages, depending on the individual indicator values,                    and displays a global readability score.
    @Article{Loesch:Waltinger:Horstmann:Mehler:2011,
      Author         = {Lösch, Mathias and Waltinger, Ulli and Horstmann,
                       Wolfram and Mehler, Alexander},
      Title          = {Building a DDC-annotated Corpus from OAI Metadata},
      Journal        = {Journal of Digital Information},
      Volume         = {12},
      Number         = {2},
      abstract       = {Checking for readability or simplicity of texts is
                       important for many institutional and individual users.
                       Formulas for approximately measuring text readability
                       have a long tradition. Usually, they exploit
                       surface-oriented indicators like sentence length, word
                       length, word frequency, etc. However, in many cases,
                       this information is not adequate to realistically
                       approximate the cognitive difficulties a person can
                       have to understand a text. Therefore we use deep
                       syntactic and semantic indicators in addition. The
                       syntactic information is represented by a dependency
                       tree, the semantic information by a semantic network.
                       Both representations are automatically generated by a
                       deep syntactico-semantic analysis. A global readability
                       score is determined by applying a nearest neighbor
                       algorithm on 3,000 ratings of 300 test persons. The
                       evaluation showed that the deep syntactic and semantic
                       indicators lead to promising results comparable to the
                       best surface-based indicators. The combination of deep
                       and shallow indicators leads to an improvement over
                       shallow indicators alone. Finally, a graphical user
                       interface was developed which highlights difficult
                       passages, depending on the individual indicator values,
                       and displays a global readability score.},
      bibsource      = {DBLP, http://dblp.uni-trier.de},
      pdf            = {https://journals.tdl.org/jodi/index.php/jodi/article/download/1765/1767},
      website        = {http://journals.tdl.org/jodi/article/view/1765},
      year           = 2011
    }
  • M. Lux, J. Laußmann, A. Mehler, and C. Menßen, “An Online Platform for Visualizing Time Series in Linguistic Networks,” in Proceedings of the Demonstrations Session of the 2011 IEEE / WIC / ACM International Conferences on Web Intelligence and Intelligent Agent Technology, 22 – 27 August 2011, Lyon, France, 2011.
    [Poster][BibTeX]

    @InProceedings{Lux:Laussmann:Mehler:Menssen:2011,
      Author         = {Lux, Markus and Lau{\ss}mann, Jan and Mehler,
                       Alexander and Men{\ss}en, Christian},
      Title          = {An Online Platform for Visualizing Time Series in
                       Linguistic Networks},
      BookTitle      = {Proceedings of the Demonstrations Session of the 2011
                       IEEE / WIC / ACM International Conferences on Web
                       Intelligence and Intelligent Agent Technology, 22 - 27
                       August 2011, Lyon, France},
      poster         = {https://www.texttechnologylab.org/wp-content/uploads/2015/08/wi-iat-poster-2011.pdf},
      website        = {http://dl.acm.org/citation.cfm?id=2052396},
      year           = 2011
    }
  • [PDF] A. Mehler, N. Diewald, U. Waltinger, R. Gleim, D. Esch, B. Job, T. Küchelmann, O. Abramov, and P. Blanchard, “Evolution of Romance Language in Written Communication: Network Analysis of Late Latin and Early Romance Corpora,” Leonardo, vol. 44, iss. 3, 2011.
    [BibTeX]

    @Article{Mehler:Diewald:Waltinger:et:al:2010,
      Author         = {Mehler, Alexander and Diewald, Nils and Waltinger,
                       Ulli and Gleim, Rüdiger and Esch, Dietmar and Job,
                       Barbara and Küchelmann, Thomas and Abramov, Olga and
                       Blanchard, Philippe},
      Title          = {Evolution of Romance Language in Written
                       Communication: Network Analysis of Late Latin and Early
                       Romance Corpora},
      Journal        = {Leonardo},
      Volume         = {44},
      Number         = {3},
      pdf            = {https://www.texttechnologylab.org/wp-content/uploads/2015/08/mehler_diewald_waltinger_gleim_esch_job_kuechelmann_pustylnikov_blanchard_2010.pdf},
      publisher      = {MIT Press},
      year           = 2011
    }
  • [PDF] A. Mehler, A. Lücking, and P. Menke, “From Neural Activation to Symbolic Alignment: A Network-Based Approach to the Formation of Dialogue Lexica,” in Proceedings of the International Joint Conference on Neural Networks (IJCNN 2011), San Jose, California, July 31 — August 5, 2011.
    [BibTeX]

    @InProceedings{Mehler:Luecking:Menke:2011,
      Author         = {Mehler, Alexander and Lücking, Andy and Menke, Peter},
      Title          = {From Neural Activation to Symbolic Alignment: A
                       Network-Based Approach to the Formation of Dialogue
                       Lexica},
      BookTitle      = {Proceedings of the International Joint Conference on
                       Neural Networks (IJCNN 2011), San Jose, California,
                       July 31 -- August 5},
      pdf            = {https://www.texttechnologylab.org/wp-content/uploads/2015/08/neural-align-final.pdf},
      website        = {{http://dx.doi.org/10.1109/IJCNN.2011.6033266}},
      year           = 2011
    }
  • [PDF] A. Lücking, O. Abramov, A. Mehler, and P. Menke, “The Bielefeld Jigsaw Map Game (JMG) Corpus,” in Abstracts of the Corpus Linguistics Conference 2011, Birmingham, 2011.
    [BibTeX]

    @InProceedings{Luecking:Abramov:Mehler:Menke:2011,
      Author         = {Lücking, Andy and Abramov, Olga and Mehler, Alexander
                       and Menke, Peter},
      Title          = {The Bielefeld Jigsaw Map Game (JMG) Corpus},
      BookTitle      = {Abstracts of the Corpus Linguistics Conference 2011},
      Series         = {CL2011},
      Address        = {Birmingham},
      pdf            = {http://www.birmingham.ac.uk/documents/college-artslaw/corpus/conference-archives/2011/Paper-137.pdf},
      website        = {http://www.birmingham.ac.uk/research/activity/corpus/publications/conference-archives/2011-birmingham.aspx},
      year           = 2011
    }
  • [PDF] R. Gleim, A. Hoenen, N. Diewald, A. Mehler, and A. Ernst, “Modeling, Building and Maintaining Lexica for Corpus Linguistic Studies by Example of Late Latin,” in Corpus Linguistics 2011, 20-22 July, Birmingham, 2011.
    [BibTeX]

    @InProceedings{Gleim:Hoenen:Diewald:Mehler:Ernst:2011,
      Author         = {Gleim, Rüdiger and Hoenen, Armin and Diewald, Nils
                       and Mehler, Alexander and Ernst, Alexandra},
      Title          = {Modeling, Building and Maintaining Lexica for Corpus
                       Linguistic Studies by Example of Late Latin},
      BookTitle      = {Corpus Linguistics 2011, 20-22 July, Birmingham},
      pdf            = {https://www.texttechnologylab.org/wp-content/uploads/2015/08/Paper-48.pdf},
      year           = 2011
    }
  • P. Menke and A. Mehler, “From experiments to corpora: The Ariadne Corpus Management System,” in Corpus Linguistics 2011, 20-22 July, Birmingham, 2011.
    [BibTeX]

    @InProceedings{Menke:Mehler:2011,
      Author         = {Menke, Peter and Mehler, Alexander},
      Title          = {From experiments to corpora: The Ariadne Corpus
                       Management System},
      BookTitle      = {Corpus Linguistics 2011, 20-22 July, Birmingham},
      website        = {https://www.researchgate.net/publication/260186214_From_Experiments_to_Corpora_The_Ariadne_Corpus_Management_System},
      year           = 2011
    }
  • Towards an Information Theory of Complex Networks: Statistical Methods and Applications, M. Dehmer, F. Emmert-Streib, and A. Mehler, Eds., Boston/Basel: Birkhäuser, 2011.
    [BibTeX]

    @Book{Dehmer:EmmertStreib:Mehler:2009:a,
      Editor         = {Dehmer, Matthias and Emmert-Streib, Frank and Mehler,
                       Alexander},
      Title          = {Towards an Information Theory of Complex Networks:
                       Statistical Methods and Applications},
      Publisher      = {Birkh{\"a}user},
      Address        = {Boston/Basel},
      image          = {https://www.texttechnologylab.org/wp-content/uploads/2015/09/InformationTheoryComplexNetworks.jpg},
      pagetotal      = {395},
      website        = {http://link.springer.com/book/10.1007/978-0-8176-4904-3/page/1},
      year           = 2011
    }
  • [PDF] A. Mehler, A. Lücking, and P. Menke, “Assessing Lexical Alignment in Spontaneous Direction Dialogue Data by Means of a Lexicon Network Model,” in Proceedings of 12th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing), February 20–26, Tokyo, Berlin/New York, 2011, pp. 368-379.
    [BibTeX]

    @InProceedings{Mehler:Luecking:Menke:2011:a,
      Author         = {Mehler, Alexander and Lücking, Andy and Menke, Peter},
      Title          = {Assessing Lexical Alignment in Spontaneous Direction
                       Dialogue Data by Means of a Lexicon Network Model},
      BookTitle      = {Proceedings of 12th International Conference on
                       Intelligent Text Processing and Computational
                       Linguistics (CICLing), February 20--26, Tokyo},
      Series         = {CICLing'11},
      Pages          = {368-379},
      Address        = {Berlin/New York},
      Publisher      = {Springer},
      pdf            = {https://www.texttechnologylab.org/wp-content/uploads/2015/08/titan-cicling-camera-ready.pdf},
      website        = {http://www.springerlink.com/content/g7p2250025u20010/},
      year           = 2011
    }
  • P. Geibel, A. Mehler, and K. Kühnberger, “Learning Methods for Graph Models of Document Structure,” in Modeling, Learning and Processing of Text Technological Data Structures, A. Mehler, K. Kühnberger, H. Lobin, H. Lüngen, A. Storrer, and A. Witt, Eds., Berlin/New York: Springer, 2011.
    [BibTeX]

    @InCollection{Geibel:Mehler:Kuehnberger:2011:a,
      Author         = {Geibel, Peter and Mehler, Alexander and Kühnberger,
                       Kai-Uwe},
      Title          = {Learning Methods for Graph Models of Document
                       Structure},
      BookTitle      = {Modeling, Learning and Processing of Text
                       Technological Data Structures},
      Publisher      = {Springer},
      Editor         = {Mehler, Alexander and Kühnberger, Kai-Uwe and Lobin,
                       Henning and Lüngen, Harald and Storrer, Angelika and
                       Witt, Andreas},
      Series         = {Studies in Computational Intelligence},
      Address        = {Berlin/New York},
      website        = {http://www.springerlink.com/content/p095331472h76v56/},
      year           = 2011
    }
  • A. Mehler and U. Waltinger, “Integrating Content and Structure Learning: A Model of Hypertext Zoning and Sounding,” in Modeling, Learning and Processing of Text Technological Data Structures, A. Mehler, K. Kühnberger, H. Lobin, H. Lüngen, A. Storrer, and A. Witt, Eds., Berlin/New York: Springer, 2011.
    [BibTeX]

    @InCollection{Mehler:Waltinger:2011:a,
      Author         = {Mehler, Alexander and Waltinger, Ulli},
      Title          = {Integrating Content and Structure Learning: A Model of
                       Hypertext Zoning and Sounding},
      BookTitle      = {Modeling, Learning and Processing of Text
                       Technological Data Structures},
      Publisher      = {Springer},
      Editor         = {Mehler, Alexander and Kühnberger, Kai-Uwe and Lobin,
                       Henning and Lüngen, Harald and Storrer, Angelika and
                       Witt, Andreas},
      Series         = {Studies in Computational Intelligence},
      Address        = {Berlin/New York},
      website        = {http://rd.springer.com/chapter/10.1007/978-3-642-22613-7_15},
      year           = 2011
    }
  • O. Abramov and A. Mehler, “Automatic Language Classification by Means of Syntactic Dependency Networks,” Journal of Quantitative Linguistics, vol. 18, iss. 4, pp. 291-336, 2011.
    [Abstract] [BibTeX]

    This article presents an approach to automatic                    language classification by means of linguistic                    networks. Networks of 11 languages were constructed                    from dependency treebanks, and the topology of these                    networks serves as input to the classification                    algorithm. The results match the genealogical                    similarities of these languages. In addition, we test                    two alternative approaches to automatic language                    classification – one based on n-grams and the other                    on quantitative typological indices. All three methods                    show good results in identifying genealogical groups.                    Beyond genetic similarities, network features (and                    feature combinations) offer a new source of typological                    information about languages. This information can                    contribute to a better understanding of the interplay                    of single linguistic phenomena observed in language.
    @Article{Abramov:Mehler:2011:a,
      Author         = {Abramov, Olga and Mehler, Alexander},
      Title          = {Automatic Language Classification by Means of
                       Syntactic Dependency Networks},
      Journal        = {Journal of Quantitative Linguistics},
      Volume         = {18},
      Number         = {4},
      Pages          = {291-336},
      abstract       = {This article presents an approach to automatic
                       language classification by means of linguistic
                       networks. Networks of 11 languages were constructed
                       from dependency treebanks, and the topology of these
                       networks serves as input to the classification
                       algorithm. The results match the genealogical
                       similarities of these languages. In addition, we test
                       two alternative approaches to automatic language
                       classification – one based on n-grams and the other
                       on quantitative typological indices. All three methods
                       show good results in identifying genealogical groups.
                       Beyond genetic similarities, network features (and
                       feature combinations) offer a new source of typological
                       information about languages. This information can
                       contribute to a better understanding of the interplay
                       of single linguistic phenomena observed in language.},
      website        = {http://www.researchgate.net/publication/220469321_Automatic_Language_Classification_by_means_of_Syntactic_Dependency_Networks},
      year           = 2011
    }
  • A. Mehler, K. Kühnberger, H. Lobin, H. Lüngen, A. Storrer, and A. Witt, Modeling, Learning and Processing of Text Technological Data Structures, A. Mehler, K. Kühnberger, H. Lobin, H. Lüngen, A. Storrer, and A. Witt, Eds., Berlin/New York: Springer, 2011.
    [BibTeX]

    @Book{Mehler:Kuehnberger:Lobin:Luengen:Storrer:Witt:2011,
      Author         = {Mehler, Alexander and Kühnberger, Kai-Uwe and Lobin,
                       Henning and Lüngen, Harald and Storrer, Angelika and
                       Witt, Andreas},
      Editor         = {Mehler, Alexander and Kühnberger, Kai-Uwe and Lobin,
                       Henning and Lüngen, Harald and Storrer, Angelika and
                       Witt, Andreas},
      Title          = {Modeling, Learning and Processing of Text
                       Technological Data Structures},
      Publisher      = {Springer},
      Series         = {Studies in Computational Intelligence},
      Address        = {Berlin/New York},
      image          = {https://www.texttechnologylab.org/wp-content/uploads/2015/09/modelingLearningAndProcessing-medium.jpg},
      pagetotal      = {400},
      website        = {/books/texttechnologybook/},
      year           = 2011
    }
  • U. Waltinger, A. Mehler, M. Lösch, and W. Horstmann, “Hierarchical Classification of OAI Metadata Using the DDC Taxonomy,” in Advanced Language Technologies for Digital Libraries (ALT4DL), R. Bernardi, S. Chambers, B. Gottfried, F. Segond, and I. Zaihrayeu, Eds., Berlin: Springer, 2011, pp. 29-40.
    [Abstract] [BibTeX]

    In the area of digital library services, the access to                    subject-specific metadata of scholarly publications is                    of utmost interest. One of the most prevalent                    approaches for metadata exchange is the XML-based Open                    Archive Initiative (OAI) Protocol for Metadata                    Harvesting (OAI-PMH). However, due to its loose                    requirements regarding metadata content there is no                    strict standard for consistent subject indexing                    specified, which is furthermore needed in the digital                    library domain. This contribution addresses the problem                    of automatic enhancement of OAI metadata by means of                    the most widely used universal classification schemes                    in libraries—the Dewey Decimal Classification (DDC).                    To be more specific, we automatically classify                    scientific documents according to the DDC taxonomy                    within three levels using a machine learning-based                    classifier that relies solely on OAI metadata records                    as the document representation. The results show an                    asymmetric distribution of documents across the                    hierarchical structure of the DDC taxonomy and issues                    of data sparseness. However, the performance of the                    classifier shows promising results on all three levels                    of the DDC.
    @InCollection{Waltinger:Mehler:Loesch:Horstmann:2011,
      Author         = {Waltinger, Ulli and Mehler, Alexander and Lösch,
                       Mathias and Horstmann, Wolfram},
      Title          = {Hierarchical Classification of OAI Metadata Using the
                       DDC Taxonomy},
      BookTitle      = {Advanced Language Technologies for Digital Libraries
                       (ALT4DL)},
      Publisher      = {Springer},
      Editor         = {Raffaella Bernardi and Sally Chambers and Bjoern
                       Gottfried and Frederique Segond and Ilya Zaihrayeu},
      Series         = {LNCS},
      Pages          = {29-40},
      Address        = {Berlin},
      abstract       = {In the area of digital library services, the access to
                       subject-specific metadata of scholarly publications is
                       of utmost interest. One of the most prevalent
                       approaches for metadata exchange is the XML-based Open
                       Archive Initiative (OAI) Protocol for Metadata
                       Harvesting (OAI-PMH). However, due to its loose
                       requirements regarding metadata content there is no
                       strict standard for consistent subject indexing
                       specified, which is furthermore needed in the digital
                       library domain. This contribution addresses the problem
                       of automatic enhancement of OAI metadata by means of
                       the most widely used universal classification schemes
                       in libraries—the Dewey Decimal Classification (DDC).
                       To be more specific, we automatically classify
                       scientific documents according to the DDC taxonomy
                       within three levels using a machine learning-based
                       classifier that relies solely on OAI metadata records
                       as the document representation. The results show an
                       asymmetric distribution of documents across the
                       hierarchical structure of the DDC taxonomy and issues
                       of data sparseness. However, the performance of the
                       classifier shows promising results on all three levels
                       of the DDC.},
      website        = {http://www.springerlink.com/content/x20257512g818377/},
      year           = 2011
    }
  • [PDF] A. Mehler, S. Schwandt, R. Gleim, and B. Jussen, “Der eHumanities Desktop als Werkzeug in der historischen Semantik: Funktionsspektrum und Einsatzszenarien,” Journal for Language Technology and Computational Linguistics (JLCL), vol. 26, iss. 1, pp. 97-117, 2011.
    [Abstract] [BibTeX]

    Die Digital Humanities bzw. die Computational                    Humanities entwickeln sich zu eigenständigen                    Disziplinen an der Nahtstelle von Geisteswissenschaft                    und Informatik. Diese Entwicklung betrifft zunehmend                    auch die Lehre im Bereich der geisteswissenschaftlichen                    Fachinformatik. In diesem Beitrag thematisieren wir den                    eHumanities Desktop als ein Werkzeug für diesen                    Bereich der Lehre. Dabei geht es genauer um einen                    Brückenschlag zwischen Geschichtswissenschaft und                    Informatik: Am Beispiel der historischen Semantik                    stellen wir drei Lehrszenarien vor, in denen der                    eHumanities Desktop in der geschichtswissenschaftlichen                    Lehre zum Einsatz kommt. Der Beitrag schliesst mit                    einer Anforderungsanalyse an zukünftige Entwicklungen                    in diesem Bereich.
    @Article{Mehler:Schwandt:Gleim:Jussen:2011,
      Author         = {Mehler, Alexander and Schwandt, Silke and Gleim,
                       Rüdiger and Jussen, Bernhard},
      Title          = {Der eHumanities Desktop als Werkzeug in der
                       historischen Semantik: Funktionsspektrum und
                       Einsatzszenarien},
      Journal        = {Journal for Language Technology and Computational
                       Linguistics (JLCL)},
      Volume         = {26},
      Number         = {1},
      Pages          = {97-117},
      abstract       = {Die Digital Humanities bzw. die Computational
                       Humanities entwickeln sich zu eigenst{\"a}ndigen
                       Disziplinen an der Nahtstelle von Geisteswissenschaft
                       und Informatik. Diese Entwicklung betrifft zunehmend
                       auch die Lehre im Bereich der geisteswissenschaftlichen
                       Fachinformatik. In diesem Beitrag thematisieren wir den
                       eHumanities Desktop als ein Werkzeug für diesen
                       Bereich der Lehre. Dabei geht es genauer um einen
                       Brückenschlag zwischen Geschichtswissenschaft und
                       Informatik: Am Beispiel der historischen Semantik
                       stellen wir drei Lehrszenarien vor, in denen der
                       eHumanities Desktop in der geschichtswissenschaftlichen
                       Lehre zum Einsatz kommt. Der Beitrag schliesst mit
                       einer Anforderungsanalyse an zukünftige Entwicklungen
                       in diesem Bereich.},
      pdf            = {http://media.dwds.de/jlcl/2011_Heft1/8.pdf },
      year           = 2011
    }
  • [PDF] M. Z. Islam, R. Mittmann, and A. Mehler, “Multilingualism in Ancient Texts: Language Detection by Example of Old High German and Old Saxon,” in GSCL conference on Multilingual Resources and Multilingual Applications (GSCL 2011), 28-30 September, Hamburg, Germany, 2011.
    [Abstract] [BibTeX]

    In this paper, we present an approach to language d                    etection in streams of multilingual ancient texts. We                    introduce a supervised classifier that detects, amongst                    others, Old High G erman (OHG) and Old Saxon (OS). We                    evaluate our mod el by means of three experiments that                    show that language detection is po ssible even for dead                    languages. Finally, we present an experiment in                    unsupervised language detection as a tertium                    comparationis for o ur supervised classifier.
    @InProceedings{Zahurul:Mittmann:Mehler:2011,
      Author         = {Islam, Md. Zahurul and Mittmann, Roland and Mehler,
                       Alexander},
      Title          = {Multilingualism in Ancient Texts: Language Detection
                       by Example of Old High German and Old Saxon},
      BookTitle      = {GSCL conference on Multilingual Resources and
                       Multilingual Applications (GSCL 2011), 28-30 September,
                       Hamburg, Germany},
      abstract       = {In this paper, we present an approach to language d
                       etection in streams of multilingual ancient texts. We
                       introduce a supervised classifier that detects, amongst
                       others, Old High G erman (OHG) and Old Saxon (OS). We
                       evaluate our mod el by means of three experiments that
                       show that language detection is po ssible even for dead
                       languages. Finally, we present an experiment in
                       unsupervised language detection as a tertium
                       comparationis for o ur supervised classifier.},
      pdf            = {https://www.texttechnologylab.org/wp-content/uploads/2015/08/Multilingualism_in_Ancient_Texts_Language_Detection_by_Example_of_Old_High_German_and_Old_Saxon.pdf},
      timestamp      = {2011.08.25},
      year           = 2011
    }

2010 (11)

  • A. Mehler, “Minimum Spanning Markovian Trees: Introducing Context-Sensitivity into the Generation of Spanning Trees,” in Structural Analysis of Complex Networks, M. Dehmer, Ed., Basel: Birkhäuser Publishing, 2010, pp. 381-401.
    [Abstract] [BibTeX]

    This chapter introduces a novel class of graphs:                    Minimum Spanning Markovian Trees (MSMTs). The idea                    behind MSMTs is to provide spanning trees that minimize                    the costs of edge traversals in a Markovian manner,                    that is, in terms of the path starting with the root of                    the tree and ending at the vertex under consideration.                    In a second part, the chapter generalizes this class of                    spanning trees in order to allow for damped Markovian                    effects in the course of spanning. These two effects,                    (1) the sensitivity to the contexts generated by                    consecutive edges and (2) the decreasing impact of more                    antecedent (or 'weakly remembered') vertices, are well                    known in cognitive modeling [6, 10, 21, 23]. In this                    sense, the chapter can also be read as an effort to                    introduce a graph model to support the simulation of                    cognitive systems. Note that MSMTs are not to be                    confused with branching Markov chains or Markov trees                    [20] as we focus on generating spanning trees from                    given weighted undirected networks.
    @InCollection{Mehler:2010:a,
      Author         = {Mehler, Alexander},
      Title          = {Minimum Spanning Markovian Trees: Introducing
                       Context-Sensitivity into the Generation of Spanning
                       Trees},
      BookTitle      = {Structural Analysis of Complex Networks},
      Publisher      = {Birkh{\"a}user Publishing},
      Editor         = {Dehmer, Matthias},
      Pages          = {381-401},
      Address        = {Basel},
      abstract       = {This chapter introduces a novel class of graphs:
                       Minimum Spanning Markovian Trees (MSMTs). The idea
                       behind MSMTs is to provide spanning trees that minimize
                       the costs of edge traversals in a Markovian manner,
                       that is, in terms of the path starting with the root of
                       the tree and ending at the vertex under consideration.
                       In a second part, the chapter generalizes this class of
                       spanning trees in order to allow for damped Markovian
                       effects in the course of spanning. These two effects,
                       (1) the sensitivity to the contexts generated by
                       consecutive edges and (2) the decreasing impact of more
                       antecedent (or 'weakly remembered') vertices, are well
                       known in cognitive modeling [6, 10, 21, 23]. In this
                       sense, the chapter can also be read as an effort to
                       introduce a graph model to support the simulation of
                       cognitive systems. Note that MSMTs are not to be
                       confused with branching Markov chains or Markov trees
                       [20] as we focus on generating spanning trees from
                       given weighted undirected networks.},
      website        = {https://www.researchgate.net/publication/226700676_Minimum_Spanning_Markovian_Trees_Introducing_Context-Sensitivity_into_the_Generation_of_Spanning_Trees},
      year           = 2010
    }
  • [PDF] R. Gleim and A. Mehler, “Computational Linguistics for Mere Mortals – Powerful but Easy-to-use Linguistic Processing for Scientists in the Humanities,” in Proceedings of LREC 2010, Malta, 2010.
    [Abstract] [BibTeX]

    Delivering linguistic resources and easy-to-use                    methods to a broad public in the humanities is a                    challenging task. On the one hand users rightly demand                    easy to use interfaces but on the other hand want to                    have access to the full flexibility and power of the                    functions being offered. Even though a growing number                    of excellent systems exist which offer convenient means                    to use linguistic resources and methods, they usually                    focus on a specific domain, as for example corpus                    exploration or text categorization. Architectures which                    address a broad scope of applications are still rare.                    This article introduces the eHumanities Desktop, an                    online system for corpus management, processing and                    analysis which aims at bridging the gap between                    powerful command line tools and intuitive user                    interfaces. 
    @InProceedings{Gleim:Mehler:2010:b,
      Author         = {Gleim, Rüdiger and Mehler, Alexander},
      Title          = {Computational Linguistics for Mere Mortals –
                       Powerful but Easy-to-use Linguistic Processing for
                       Scientists in the Humanities},
      BookTitle      = {Proceedings of LREC 2010},
      Address        = {Malta},
      Publisher      = {ELDA},
      abstract       = {Delivering linguistic resources and easy-to-use
                       methods to a broad public in the humanities is a
                       challenging task. On the one hand users rightly demand
                       easy to use interfaces but on the other hand want to
                       have access to the full flexibility and power of the
                       functions being offered. Even though a growing number
                       of excellent systems exist which offer convenient means
                       to use linguistic resources and methods, they usually
                       focus on a specific domain, as for example corpus
                       exploration or text categorization. Architectures which
                       address a broad scope of applications are still rare.
                       This article introduces the eHumanities Desktop, an
                       online system for corpus management, processing and
                       analysis which aims at bridging the gap between
                       powerful command line tools and intuitive user
                       interfaces. },
      pdf            = {https://www.texttechnologylab.org/wp-content/uploads/2015/08/gleim_mehler_2010.pdf},
      year           = 2010
    }
  • [PDF] [DOI] A. Mehler, A. Lücking, and P. Weiß, “A Network Model of Interpersonal Alignment,” Entropy, vol. 12, iss. 6, pp. 1440-1483, 2010.
    [Abstract] [BibTeX]

    In dyadic communication, both interlocutors adapt to                    each other linguistically, that is, they align                    interpersonally. In this article, we develop a                    framework for modeling interpersonal alignment in terms                    of the structural similarity of the interlocutors’                    dialog lexica. This is done by means of so-called                    two-layer time-aligned network series, that is, a                    time-adjusted graph model. The graph model is                    partitioned into two layers, so that the                    interlocutors’ lexica are captured as subgraphs of an                    encompassing dialog graph. Each constituent network of                    the series is updated utterance-wise. Thus, both the                    inherent bipartition of dyadic conversations and their                    gradual development are modeled. The notion of                    alignment is then operationalized within a quantitative                    model of structure formation based on the mutual                    information of the subgraphs that represent the                    interlocutor’s dialog lexica. By adapting and further                    developing several models of complex network theory, we                    show that dialog lexica evolve as a novel class of                    graphs that have not been considered before in the area                    of complex (linguistic) networks. Additionally, we show                    that our framework allows for classifying dialogs                    according to their alignment status. To the best of our                    knowledge, this is the first approach to measuring                    alignment in communication that explores the                    similarities of graph-like cognitive representations.
    @Article{Mehler:Weiss:Luecking:2010:a,
      Author         = {Mehler, Alexander and Lücking, Andy and Wei{\ss},
                       Petra},
      Title          = {A Network Model of Interpersonal Alignment},
      Journal        = {Entropy},
      Volume         = {12},
      Number         = {6},
      Pages          = {1440-1483},
      abstract       = {In dyadic communication, both interlocutors adapt to
                       each other linguistically, that is, they align
                       interpersonally. In this article, we develop a
                       framework for modeling interpersonal alignment in terms
                       of the structural similarity of the interlocutors’
                       dialog lexica. This is done by means of so-called
                       two-layer time-aligned network series, that is, a
                       time-adjusted graph model. The graph model is
                       partitioned into two layers, so that the
                       interlocutors’ lexica are captured as subgraphs of an
                       encompassing dialog graph. Each constituent network of
                       the series is updated utterance-wise. Thus, both the
                       inherent bipartition of dyadic conversations and their
                       gradual development are modeled. The notion of
                       alignment is then operationalized within a quantitative
                       model of structure formation based on the mutual
                       information of the subgraphs that represent the
                       interlocutor’s dialog lexica. By adapting and further
                       developing several models of complex network theory, we
                       show that dialog lexica evolve as a novel class of
                       graphs that have not been considered before in the area
                       of complex (linguistic) networks. Additionally, we show
                       that our framework allows for classifying dialogs
                       according to their alignment status. To the best of our
                       knowledge, this is the first approach to measuring
                       alignment in communication that explores the
                       similarities of graph-like cognitive representations.},
      doi            = {10.3390/e12061440},
      pdf            = {http://www.mdpi.com/1099-4300/12/6/1440/pdf},
      website        = {http://www.mdpi.com/1099-4300/12/6/1440/},
      year           = 2010
    }
  • A. Mehler, S. Sharoff, and M. Santini, Genres on the Web: Computational Models and Empirical Studies, A. Mehler, S. Sharoff, and M. Santini, Eds., Dordrecht: Springer, 2010.
    [Abstract] [BibTeX]

    The volume 'Genres on the Web' has been designed for a                    wide audience, from the expert to the novice. It is a                    required book for scholars, researchers and students                    who want to become acquainted with the latest                    theoretical, empirical and computational advances in                    the expanding field of web genre research. The study of                    web genre is an overarching and interdisciplinary novel                    area of research that spans from corpus linguistics,                    computational linguistics, NLP, and text-technology, to                    web mining, webometrics, social network analysis and                    information studies. This book gives readers a thorough                    grounding in the latest research on web genres and                    emerging document types. The book covers a wide range                    of web-genre focussed subjects, such as: -The                    identification of the sources of web genres -Automatic                    web genre identification -The presentation of                    structure-oriented models -Empirical case studies One                    of the driving forces behind genre research is the idea                    of a genre-sensitive information system, which                    incorporates genre cues complementing the current                    keyword-based search and retrieval applications.
    @Book{Mehler:Sharoff:Santini:2010:a,
      Author         = {Mehler, Alexander and Sharoff, Serge and Santini,
                       Marina},
      Editor         = {Mehler, Alexander and Sharoff, Serge and Santini,
                       Marina},
      Title          = {Genres on the Web: Computational Models and Empirical
                       Studies},
      Publisher      = {Springer},
      Address        = {Dordrecht},
      abstract       = {The volume 'Genres on the Web' has been designed for a
                       wide audience, from the expert to the novice. It is a
                       required book for scholars, researchers and students
                       who want to become acquainted with the latest
                       theoretical, empirical and computational advances in
                       the expanding field of web genre research. The study of
                       web genre is an overarching and interdisciplinary novel
                       area of research that spans from corpus linguistics,
                       computational linguistics, NLP, and text-technology, to
                       web mining, webometrics, social network analysis and
                       information studies. This book gives readers a thorough
                       grounding in the latest research on web genres and
                       emerging document types. The book covers a wide range
                       of web-genre focussed subjects, such as: -The
                       identification of the sources of web genres -Automatic
                       web genre identification -The presentation of
                       structure-oriented models -Empirical case studies One
                       of the driving forces behind genre research is the idea
                       of a genre-sensitive information system, which
                       incorporates genre cues complementing the current
                       keyword-based search and retrieval applications.},
      booktitle      = {Genres on the Web: Computational Models and Empirical
                       Studies},
      image          = {https://www.texttechnologylab.org/wp-content/uploads/2015/09/GenresOnTheWeb.jpg},
      pagetotal      = {376},
      review         = {http://www.springerlink.com/content/ym07440380524721/},
      website        = {http://www.springer.com/computer/ai/book/978-90-481-9177-2},
      year           = 2010
    }
  • T. Sutter and A. Mehler, Medienwandel als Wandel von Interaktionsformen – von frühen Medienkulturen zum Web 2.0, T. Sutter and A. Mehler, Eds., Wiesbaden: Verlag für Sozialwissenschaften, 2010.
    [Abstract] [BibTeX]

    Die Beiträge des Bandes untersuchen den                    Medienwandel von frühen europäischen                    Medienkulturen bis zu aktuellen Formen der                    Internetkommunikation unter soziologischer,                    kulturwissenschaftlicher und linguistischer                    Perspektive. Zwar haben sich die Massenmedien von den                    Beschränkungen sozialer Interaktionen gelöst, sie                    weisen dem Publikum aber eine distanzierte, bloß                    rezipierende Rolle zu. Dagegen eröffnen neue Formen                    'interaktiver' Medien gesteigerte Möglichkeiten der                    Rückmeldung und der Mitgestaltung für die Nutzer. Der                    vorliegende Band fragt nach der Qualität dieses                    Medienwandels: Werden Medien tatsächlich                    interaktiv? Was bedeutet die Interaktivität neuer                    Medien? Werden die durch neue Medien eröffneten                    Beteiligungsmöglichkeiten realisiert?
    @Book{Sutter:Mehler:2010,
      Author         = {Sutter, Tilmann and Mehler, Alexander},
      Editor         = {Sutter, Tilmann and Mehler, Alexander},
      Title          = {Medienwandel als Wandel von Interaktionsformen – von
                       frühen Medienkulturen zum Web 2.0},
      Publisher      = {Verlag für Sozialwissenschaften},
      Address        = {Wiesbaden},
      abstract       = {Die Beitr{\"a}ge des Bandes untersuchen den
                       Medienwandel von frühen europ{\"a}ischen
                       Medienkulturen bis zu aktuellen Formen der
                       Internetkommunikation unter soziologischer,
                       kulturwissenschaftlicher und linguistischer
                       Perspektive. Zwar haben sich die Massenmedien von den
                       Beschr{\"a}nkungen sozialer Interaktionen gelöst, sie
                       weisen dem Publikum aber eine distanzierte, blo{\ss}
                       rezipierende Rolle zu. Dagegen eröffnen neue Formen
                       'interaktiver' Medien gesteigerte Möglichkeiten der
                       Rückmeldung und der Mitgestaltung für die Nutzer. Der
                       vorliegende Band fragt nach der Qualit{\"a}t dieses
                       Medienwandels: Werden Medien tats{\"a}chlich
                       interaktiv? Was bedeutet die Interaktivit{\"a}t neuer
                       Medien? Werden die durch neue Medien eröffneten
                       Beteiligungsmöglichkeiten realisiert?},
      image          = {https://www.texttechnologylab.org/wp-content/uploads/2015/09/Medienwandel.jpg},
      pagetotal      = {289},
      website        = {http://www.springer.com/de/book/9783531156422},
      year           = 2010
    }
  • [PDF] A. Mehler, P. Weiß, P. Menke, and A. Lücking, “Towards a Simulation Model of Dialogical Alignment,” in Proceedings of the 8th International Conference on the Evolution of Language (Evolang8), 14-17 April 2010, Utrecht, 2010, pp. 238-245.
    [BibTeX]

    @InProceedings{Mehler:Weiss:Menke:Luecking:2010,
      Author         = {Mehler, Alexander and Wei{\ss}, Petra and Menke, Peter
                       and Lücking, Andy},
      Title          = {Towards a Simulation Model of Dialogical Alignment},
      BookTitle      = {Proceedings of the 8th International Conference on the
                       Evolution of Language (Evolang8), 14-17 April 2010,
                       Utrecht},
      Pages          = {238-245},
      pdf            = {https://www.texttechnologylab.org/wp-content/uploads/2015/08/Alexander_Mehler_Petra_Weiss_Peter_Menke_Andy_Luecking.pdf},
      website        = {http://www.let.uu.nl/evolang2010.nl/},
      year           = 2010
    }
  • [PDF] F. Foscarini, Y. Kim, C. A. Lee, A. Mehler, G. Oliver, and S. Ross, “On the Notion of Genre in Digital Preservation,” in Automation in Digital Preservation, Dagstuhl, Germany, 2010.
    [BibTeX]

    @InProceedings{Foscarini:Kim:Lee:Mehler:Oliver:Ross:2010,
      Author         = {Foscarini, Fiorella and Kim, Yunhyong and Lee,
                       Christopher A. and Mehler, Alexander and Oliver,
                       Gillian and Ross, Seamus},
      Title          = {On the Notion of Genre in Digital Preservation},
      BookTitle      = {Automation in Digital Preservation},
      Editor         = {Chanod, Jean-Pierre and Dobreva, Milena and Rauber,
                       Andreas and Ross, Seamus},
      Number         = {10291},
      Series         = {Dagstuhl Seminar Proceedings},
      Address        = {Dagstuhl, Germany},
      Publisher      = {Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik,
                       Germany},
      annote         = {Keywords: Digital preservation, genre analysis,
                       context modeling, diplomatics, information retrieval},
      issn           = {1862-4405},
      pdf            = {http://drops.dagstuhl.de/opus/volltexte/2010/2763/pdf/10291.MehlerAlexander.Paper.2763.pdf},
      website        = {http://drops.dagstuhl.de/opus/volltexte/2010/2763},
      year           = 2010
    }
  • [PDF] A. Mehler, R. Gleim, U. Waltinger, and N. Diewald, “Time Series of Linguistic Networks by Example of the Patrologia Latina,” in Proceedings of INFORMATIK 2010: Service Science, September 27 – October 01, 2010, Leipzig, 2010, pp. 609-616.
    [BibTeX]

    @InProceedings{Mehler:Gleim:Waltinger:Diewald:2010,
      Author         = {Mehler, Alexander and Gleim, Rüdiger and Waltinger,
                       Ulli and Diewald, Nils},
      Title          = {Time Series of Linguistic Networks by Example of the
                       Patrologia Latina},
      BookTitle      = {Proceedings of INFORMATIK 2010: Service Science,
                       September 27 - October 01, 2010, Leipzig},
      Editor         = {F{\"a}hnrich, Klaus-Peter and Franczyk, Bogdan},
      Volume         = {2},
      Series         = {Lecture Notes in Informatics},
      Pages          = {609-616},
      Publisher      = {GI},
      pdf            = {http://subs.emis.de/LNI/Proceedings/Proceedings176/586.pdf},
      year           = 2010
    }
  • [PDF] R. Gleim, P. Warner, and A. Mehler, “eHumanities Desktop – An Architecture for Flexible Annotation in Iconographic Research,” in Proceedings of the 6th International Conference on Web Information Systems and Technologies (WEBIST ’10), April 7-10, 2010, Valencia, 2010.
    [BibTeX]

    @InProceedings{Gleim:Warner:Mehler:2010,
      Author         = {Gleim, Rüdiger and Warner, Paul and Mehler, Alexander},
      Title          = {eHumanities Desktop - An Architecture for Flexible
                       Annotation in Iconographic Research},
      BookTitle      = {Proceedings of the 6th International Conference on Web
                       Information Systems and Technologies (WEBIST '10),
                       April 7-10, 2010, Valencia},
      pdf            = {https://www.texttechnologylab.org/wp-content/uploads/2015/08/gleim_warner_mehler_2010.pdf},
      website        = {https://www.researchgate.net/publication/220724277_eHumanities_Desktop_-_An_Architecture_for_Flexible_Annotation_in_Iconographic_Research},
      year           = 2010
    }
  • [PDF] P. Menke and A. Mehler, “The Ariadne System: A flexible and extensible framework for the modeling and storage of experimental data in the humanities,” in Proceedings of LREC 2010, Malta, 2010.
    [Abstract] [BibTeX]

    This paper introduces the Ariadne Corpus Management                    System. First, the underlying data model is presented                    which enables users to represent and process                    heterogeneous data sets within a single, consistent                    framework. Secondly, a set of automatized procedures is                    described that offers assistance to researchers in                    various data-related use cases. Finally, an approach to                    easy yet powerful data retrieval is introduced in form                    of a specialised querying language for multimodal data.
    @InProceedings{Menke:Mehler:2010,
      Author         = {Menke, Peter and Mehler, Alexander},
      Title          = {The Ariadne System: A flexible and extensible
                       framework for the modeling and storage of experimental
                       data in the humanities},
      BookTitle      = {Proceedings of LREC 2010},
      Address        = {Malta},
      Publisher      = {ELDA},
      abstract       = {This paper introduces the Ariadne Corpus Management
                       System. First, the underlying data model is presented
                       which enables users to represent and process
                       heterogeneous data sets within a single, consistent
                       framework. Secondly, a set of automatized procedures is
                       described that offers assistance to researchers in
                       various data-related use cases. Finally, an approach to
                       easy yet powerful data retrieval is introduced in form
                       of a specialised querying language for multimodal data.},
      pdf            = {https://www.texttechnologylab.org/wp-content/uploads/2015/08/menke_mehler_2010.pdf},
      website        = {http://arnetminer.org/publication/the-ariadne-system-a-flexible-and-extensible-framework-for-the-modeling-and-storage-of-experimental-data-in-the-humanities-2839925.html},
      year           = 2010
    }
  • [https://doi.org/10.1007/978-3-531-92292-8_1] [DOI] T. Sutter and A. Mehler, “Einleitung: Der aktuelle Medienwandel im Blick einer interdisziplinären Medienwissenschaft,” in Medienwandel als Wandel von Interaktionsformen, T. Sutter and A. Mehler, Eds., Wiesbaden: VS Verlag für Sozialwissenschaften, 2010, pp. 7-16.
    [Abstract] [BibTeX]

    Die Herausforderung, die der Wandel von                    Kommunikationsmedien für die Medienwissenschaft                    darstellt, resultiert nicht nur aus der ungeheuren                    Beschleunigung des Medienwandels. Die Herausforderung                    stellt sich auch mit der Frage, welches die neuen                    Formen und Strukturen sind, die aus dem Wandel der                    Medien hervorgehen. Rückt man diese Frage in den                    Fokus der Überlegungen, kommen erstens                    Entwicklungen im Wechsel von Massenmedien zu neuen,                    „interaktiven`` Medien in den Blick. Dies betrifft                    den Wandel von den alten Medien in Form von                    Einwegkommunikation zu den neuen Medien in Form von                    Netzkommunikation. Dieser Wandel wurde in zahlreichen                    Analysen als eine Revolution beschrieben: Im                    Unterschied zur einseitigen, rückkopplungsarmen                    Kommunikationsform der Massenmedien sollen neue,                    computergestützte Formen der Medienkommunikation                    „interaktiv`` sein, d.h. gesteigerte                    Rückkopplungs- und Eingriffsmöglichkeiten                    für die Adressaten und Nutzer bieten.                    Sozialwissenschaftlich bedeutsam ist dabei die                    Einschätzung der Qualität und des Umfangs                    dieser neuen Möglichkeiten und Leistungen. Denn                    bislang bedeutete Medienwandel im Kern eine zunehmende                    Ausdifferenzierung alter und neuer Medien mit je                    spezifischen Leistungen, d.h. neue Medien ersetzen die                    älteren nicht, sondern sie ergänzen und                    erweitern sie. Allerdings wird im Zuge des aktuellen                    Medienwandels immer deutlicher, dass die neuen Medien                    durchaus imstande sind, die Leistungen massenmedialer                    Verbreitung von Kommunikation zu übernehmen. Stehen                    wir also, wie das schon seit längerem kühn                    vorhergesagt wird, vor der Etablierung eines                    Universalmediums, das in der Lage ist, die Formen und                    Funktionen anderer Medien zu übernehmen?
    @InBook{Sutter2010,
      Author         = {Sutter, Tilmann and Mehler, Alexander},
      Editor         = {Sutter, Tilmann and Mehler, Alexander},
      Title          = {Einleitung: Der aktuelle Medienwandel im Blick einer
                       interdisziplin{\"a}ren Medienwissenschaft},
      Pages          = {7--16},
      Publisher      = {VS Verlag f{\"u}r Sozialwissenschaften},
      Address        = {Wiesbaden},
      abstract       = {Die Herausforderung, die der Wandel von
                       Kommunikationsmedien f{\"u}r die Medienwissenschaft
                       darstellt, resultiert nicht nur aus der ungeheuren
                       Beschleunigung des Medienwandels. Die Herausforderung
                       stellt sich auch mit der Frage, welches die neuen
                       Formen und Strukturen sind, die aus dem Wandel der
                       Medien hervorgehen. R{\"u}ckt man diese Frage in den
                       Fokus der {\"U}berlegungen, kommen erstens
                       Entwicklungen im Wechsel von Massenmedien zu neuen,
                       „interaktiven`` Medien in den Blick. Dies betrifft
                       den Wandel von den alten Medien in Form von
                       Einwegkommunikation zu den neuen Medien in Form von
                       Netzkommunikation. Dieser Wandel wurde in zahlreichen
                       Analysen als eine Revolution beschrieben: Im
                       Unterschied zur einseitigen, r{\"u}ckkopplungsarmen
                       Kommunikationsform der Massenmedien sollen neue,
                       computergest{\"u}tzte Formen der Medienkommunikation
                       „interaktiv`` sein, d.h. gesteigerte
                       R{\"u}ckkopplungs- und Eingriffsm{\"o}glichkeiten
                       f{\"u}r die Adressaten und Nutzer bieten.
                       Sozialwissenschaftlich bedeutsam ist dabei die
                       Einsch{\"a}tzung der Qualit{\"a}t und des Umfangs
                       dieser neuen M{\"o}glichkeiten und Leistungen. Denn
                       bislang bedeutete Medienwandel im Kern eine zunehmende
                       Ausdifferenzierung alter und neuer Medien mit je
                       spezifischen Leistungen, d.h. neue Medien ersetzen die
                       {\"a}lteren nicht, sondern sie erg{\"a}nzen und
                       erweitern sie. Allerdings wird im Zuge des aktuellen
                       Medienwandels immer deutlicher, dass die neuen Medien
                       durchaus imstande sind, die Leistungen massenmedialer
                       Verbreitung von Kommunikation zu {\"u}bernehmen. Stehen
                       wir also, wie das schon seit l{\"a}ngerem k{\"u}hn
                       vorhergesagt wird, vor der Etablierung eines
                       Universalmediums, das in der Lage ist, die Formen und
                       Funktionen anderer Medien zu {\"u}bernehmen?},
      booktitle      = {Medienwandel als Wandel von Interaktionsformen},
      doi            = {10.1007/978-3-531-92292-8_1},
      isbn           = {978-3-531-92292-8},
      url            = {https://doi.org/10.1007/978-3-531-92292-8_1},
      year           = 2010
    }

2009 (15)

  • M. Santini, A. Mehler, and S. Sharoff, “Riding the Rough Waves of Genre on the Web: Concepts and Research Questions,” in Genres on the Web: Computational Models and Empirical Studies, A. Mehler, S. Sharoff, and M. Santini, Eds., Berlin/New York: Springer, 2009, pp. 3-32.
    [Abstract] [BibTeX]

    This chapter outlines the state of the art of empirical and computational webgenre research. First, it highlights why the concept of genre is profitable for a range of disciplines. At the same time, it lists a number of recent interpretations that can inform and influence present and future genre research. Last but not least, it breaks down a series of open issues that relate to the modelling of the concept of webgenre in empirical and computational studies.
    @InCollection{Santini:Mehler:Sharoff:2009,
      Author         = {Santini, Marina and Mehler, Alexander and Sharoff,
                       Serge},
      Title          = {Riding the Rough Waves of Genre on the Web: Concepts
                       and Research Questions},
      BookTitle      = {Genres on the Web: Computational Models and Empirical
                       Studies},
      Publisher      = {Springer},
      Editor         = {Mehler, Alexander and Sharoff, Serge and Santini,
                       Marina},
      Pages          = {3-32},
      Address        = {Berlin/New York},
      abstract       = {This chapter outlines the state of the art of
    empirical and computational webgenre research. First,
    it highlights why the concept of genre is profitable
    for a range of disciplines. At the same time, it lists
    a number of recent interpretations that can inform and
    influence present and future genre research. Last but
    not least, it breaks down a series of open issues that
    relate to the modelling of the concept of webgenre in
    empirical and computational studies.},
      crossref       = {Genres on the Web: Computational Models and Empirical
                       Studies},
      year           = 2009
    }
  • [PDF] A. Mehler, R. Gleim, U. Waltinger, A. Ernst, D. Esch, and T. Feith, “eHumanities Desktop – eine webbasierte Arbeitsumgebung für die geisteswissenschaftliche Fachinformatik,” in Proceedings of the Symposium "Sprachtechnologie und eHumanities", 26.–27. Februar, Duisburg-Essen University, 2009.
    [BibTeX]

    @InProceedings{Mehler:Gleim:Waltinger:Ernst:Esch:Feith:2009,
      Author         = {Mehler, Alexander and Gleim, Rüdiger and Waltinger,
                       Ulli and Ernst, Alexandra and Esch, Dietmar and Feith,
                       Tobias},
      Title          = {eHumanities Desktop – eine webbasierte
                       Arbeitsumgebung für die geisteswissenschaftliche
                       Fachinformatik},
      BookTitle      = {Proceedings of the Symposium "Sprachtechnologie und
                       eHumanities", 26.–27. Februar, Duisburg-Essen
                       University},
      pdf            = {https://www.texttechnologylab.org/wp-content/uploads/2015/08/mehler_gleim_waltinger_ernst_esch_feith_2009.pdf},
      website        = {http://duepublico.uni-duisburg-essen.de/servlets/DocumentServlet?id=37041},
      year           = 2009
    }
  • [PDF] B. Wagner, A. Mehler, C. Wolff, and B. Dotzler, “Bausteine eines Literary Memory Information System (LiMeS) am Beispiel der Kafka-Forschung,” in Proceedings of the Symposium "Sprachtechnologie und eHumanities", 26.–27. Februar, Duisburg-Essen University, 2009.
    [Abstract] [BibTeX]

    In dem Paper beschreiben wir Bausteine eines Literary                    Memory Information System (LiMeS), das die                    literaturwissenschaftliche Erforschung von so genannten                    Matrixtexten – das sind Primärtexte eines                    bestimmten literarischen Gesamtwerks – unter dem                    Blickwinkel großer Mengen so genannter Echotexte                    (Topia 1984; Wagner/Reinhard 2007) – das sind                    Subtexte im Sinne eines literaturwissenschaftlichen                    Intertextualitätsbegriffs – ermöglicht. Den                    Ausgangspunkt dieses computerphilologischen                    Informationssystems bildet ein Text-Mining-Modell                    basierend auf dem Intertextualitätsbegriff in                    Verbindung mit dem Begriff des Semantic Web (Mehler,                    2004b, 2005a, b, Wolff 2005). Wir zeigen, inwiefern                    dieses Modell über bestehende                    Informationssystemarchitekturen hinausgeht und                    schließen einen Brückenschlag zur derzeitigen                    Entwicklung von Arbeitsumgebungen in der                    geisteswissenschaftlichen Fachinformatik in Form eines                    eHumanities Desktop.
    @InProceedings{Wagner:Mehler:Wolff:Dotzler:2009,
      Author         = {Wagner, Benno and Mehler, Alexander and Wolff,
                       Christian and Dotzler, Bernhard},
      Title          = {Bausteine eines Literary Memory Information System
                       (LiMeS) am Beispiel der Kafka-Forschung},
      BookTitle      = {Proceedings of the Symposium "Sprachtechnologie und
                       eHumanities", 26.–27. Februar, Duisburg-Essen
                       University},
      abstract       = {In dem Paper beschreiben wir Bausteine eines Literary
                       Memory Information System (LiMeS), das die
                       literaturwissenschaftliche Erforschung von so genannten
                       Matrixtexten – das sind Prim{\"a}rtexte eines
                       bestimmten literarischen Gesamtwerks – unter dem
                       Blickwinkel gro{\ss}er Mengen so genannter Echotexte
                       (Topia 1984; Wagner/Reinhard 2007) – das sind
                       Subtexte im Sinne eines literaturwissenschaftlichen
                       Intertextualit{\"a}tsbegriffs – ermöglicht. Den
                       Ausgangspunkt dieses computerphilologischen
                       Informationssystems bildet ein Text-Mining-Modell
                       basierend auf dem Intertextualit{\"a}tsbegriff in
                       Verbindung mit dem Begriff des Semantic Web (Mehler,
                       2004b, 2005a, b, Wolff 2005). Wir zeigen, inwiefern
                       dieses Modell über bestehende
                       Informationssystemarchitekturen hinausgeht und
                       schlie{\ss}en einen Brückenschlag zur derzeitigen
                       Entwicklung von Arbeitsumgebungen in der
                       geisteswissenschaftlichen Fachinformatik in Form eines
                       eHumanities Desktop.},
      pdf            = {https://www.texttechnologylab.org/wp-content/uploads/2015/08/wagner_mehler_wolff_dotzler_2009.pdf},
      website        = {http://epub.uni-regensburg.de/6795/},
      year           = 2009
    }
  • [PDF] U. Waltinger, A. Mehler, and A. Wegner, “A Two-Level Approach to Web Genre Classification,” in Proceedings of the 5th International Conference on Web Information Systems and Technologies (WEBIST ’09), March 23-26, 2009, Lisboa, 2009.
    [Abstract] [BibTeX]

    This paper presents an approach of two-level                    categorization of web pages. In contrast to related                    approaches the model additionally explores and                    categorizes functionally and thematically demarcated                    segments of the hypertext types to be categorized. By                    classifying these segments conclusions can be drawn                    about the type of the corresponding compound web                    document.
    @InProceedings{Waltinger:Mehler:Wegner:2009,
      Author         = {Waltinger, Ulli and Mehler, Alexander and Wegner,
                       Armin},
      Title          = {A Two-Level Approach to Web Genre Classification},
      BookTitle      = {Proceedings of the 5th International Conference on Web
                       Information Systems and Technologies (WEBIST '09),
                       March 23-26, 2009, Lisboa},
      abstract       = {This paper presents an approach of two-level
                       categorization of web pages. In contrast to related
                       approaches the model additionally explores and
                       categorizes functionally and thematically demarcated
                       segments of the hypertext types to be categorized. By
                       classifying these segments conclusions can be drawn
                       about the type of the corresponding compound web
                       document.},
      pdf            = {http://www.ulliwaltinger.de/pdf/Webist_2009_TwoLevel_Genre_Classification_WaltingerMehlerWegner.pdf},
      year           = 2009
    }
  • A. Mehler, “Structure Formation in the Web. A Graph-Theoretical Model of Hypertext Types,” in Linguistic Modeling of Information and Markup Languages. Contributions to Language Technology, A. Witt and D. Metzing, Eds., Dordrecht: Springer, 2009.
    [Abstract] [BibTeX]

    In this chapter we develop a representation model of                    web document networks. Based on the notion of uncertain                    web document structures, the model is defined as a                    template which grasps nested manifestation levels of                    hypertext types. Further, we specify the model on the                    conceptual, formal and physical level and exemplify it                    by reconstructing competing web document models.
    @InCollection{Mehler:2009:b,
      Author         = {Mehler, Alexander},
      Title          = {Structure Formation in the Web. A Graph-Theoretical
                       Model of Hypertext Types},
      BookTitle      = {Linguistic Modeling of Information and Markup
                       Languages. Contributions to Language Technology},
      Publisher      = {Springer},
      Editor         = {Witt, Andreas and Metzing, Dieter},
      Series         = {Text, Speech and Language Technology},
      Address        = {Dordrecht},
      abstract       = {In this chapter we develop a representation model of
                       web document networks. Based on the notion of uncertain
                       web document structures, the model is defined as a
                       template which grasps nested manifestation levels of
                       hypertext types. Further, we specify the model on the
                       conceptual, formal and physical level and exemplify it
                       by reconstructing competing web document models.},
      website        = {http://www.springerlink.com/content/t27782w8j2125112/},
      year           = 2009
    }
  • [PDF] R. Gleim, A. Mehler, U. Waltinger, and P. Menke, “eHumanities Desktop – An extensible Online System for Corpus Management and Analysis,” in 5th Corpus Linguistics Conference, University of Liverpool, 2009.
    [Abstract] [BibTeX]

    This paper presents the eHumanities Desktop - an                    online system for corpus management and analysis in                    support of computing in the humanities. Design issues                    and the overall architecture are described, as well as                    an outline of the applications offered by the system.
    @InProceedings{Gleim:Mehler:Waltinger:Menke:2009,
      Author         = {Gleim, Rüdiger and Mehler, Alexander and Waltinger,
                       Ulli and Menke, Peter},
      Title          = {eHumanities Desktop – An extensible Online System
                       for Corpus Management and Analysis},
      BookTitle      = {5th Corpus Linguistics Conference, University of
                       Liverpool},
      abstract       = {This paper presents the eHumanities Desktop - an
                       online system for corpus management and analysis in
                       support of computing in the humanities. Design issues
                       and the overall architecture are described, as well as
                       an outline of the applications offered by the system.},
      pdf            = {http://www.ulliwaltinger.de/pdf/eHumanitiesDesktop-AnExtensibleOnlineSystem-CL2009.pdf},
      website        = {http://www.ulliwaltinger.de/ehumanities-desktop-an-extensible-online-system-for-corpus-management-and-analysis/},
      year           = 2009
    }
  • [PDF] A. Mehler and A. Lücking, “A Structural Model of Semiotic Alignment: The Classification of Multimodal Ensembles as a Novel Machine Learning Task,” in Proceedings of IEEE Africon 2009, September 23-25, Nairobi, Kenya, 2009.
    [Abstract] [BibTeX]

    In addition to the well-known linguistic alignment                    processes in dyadic communication – e.g., phonetic,                    syntactic, semantic alignment – we provide evidence                    for a genuine multimodal alignment process, namely                    semiotic alignment. Communicative elements from                    different modalities 'routinize into' cross-modal                    'super-signs', which we call multimodal ensembles.                    Computational models of human communication are in need                    of expressive models of multimodal ensembles. In this                    paper, we exemplify semiotic alignment by means of                    empirical examples of the building of multimodal                    ensembles. We then propose a graph model of multimodal                    dialogue that is expressive enough to capture                    multimodal ensembles. In line with this model, we                    define a novel task in machine learning with the aim of                    training classifiers that can detect semiotic alignment                    in dialogue. This model is in support of approaches                    which need to gain insights into realistic                    human-machine communication.
    @InProceedings{Mehler:Luecking:2009,
      Author         = {Mehler, Alexander and Lücking, Andy},
      Title          = {A Structural Model of Semiotic Alignment: The
                       Classification of Multimodal Ensembles as a Novel
                       Machine Learning Task},
      BookTitle      = {Proceedings of IEEE Africon 2009, September 23-25,
                       Nairobi, Kenya},
      Publisher      = {IEEE},
      abstract       = {In addition to the well-known linguistic alignment
                       processes in dyadic communication – e.g., phonetic,
                       syntactic, semantic alignment – we provide evidence
                       for a genuine multimodal alignment process, namely
                       semiotic alignment. Communicative elements from
                       different modalities 'routinize into' cross-modal
                       'super-signs', which we call multimodal ensembles.
                       Computational models of human communication are in need
                       of expressive models of multimodal ensembles. In this
                       paper, we exemplify semiotic alignment by means of
                       empirical examples of the building of multimodal
                       ensembles. We then propose a graph model of multimodal
                       dialogue that is expressive enough to capture
                       multimodal ensembles. In line with this model, we
                       define a novel task in machine learning with the aim of
                       training classifiers that can detect semiotic alignment
                       in dialogue. This model is in support of approaches
                       which need to gain insights into realistic
                       human-machine communication.},
      pdf            = {https://www.texttechnologylab.org/wp-content/uploads/2015/08/mehler_luecking_2009.pdf},
      website        = {http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?reload=true&arnumber=5308098},
      year           = 2009
    }
  • [PDF] A. Mehler, “Generalized Shortest Paths Trees: A Novel Graph Class Applied to Semiotic Networks,” in Analysis of Complex Networks: From Biology to Linguistics, M. Dehmer and F. Emmert-Streib, Eds., Weinheim: Wiley-VCH, 2009, pp. 175-220.
    [BibTeX]

    @InCollection{Mehler:2009:c,
      Author         = {Mehler, Alexander},
      Title          = {Generalized Shortest Paths Trees: A Novel Graph Class
                       Applied to Semiotic Networks},
      BookTitle      = {Analysis of Complex Networks: From Biology to
                       Linguistics},
      Publisher      = {Wiley-VCH},
      Editor         = {Dehmer, Matthias and Emmert-Streib, Frank},
      Pages          = {175-220},
      Address        = {Weinheim},
      pdf            = {https://www.texttechnologylab.org/wp-content/uploads/2015/08/mehler_2009_b.pdf},
      website        = {https://www.researchgate.net/publication/255666602_1_Generalised_Shortest_Paths_Trees_A_Novel_Graph_Class_Applied_to_Semiotic_Networks},
      year           = 2009
    }
  • [PDF] A. Mehler and U. Waltinger, “Enhancing Document Modeling by Means of Open Topic Models: Crossing the Frontier of Classification Schemes in Digital Libraries by Example of the DDC,” Library Hi Tech, vol. 27, iss. 4, pp. 520-539, 2009.
    [Abstract] [BibTeX]

    Purpose: We present a topic classification model using                    the Dewey Decimal Classification (DDC) as the target                    scheme. This is done by exploring metadata as provided                    by the Open Archives Initiative (OAI) to derive                    document snippets as minimal document representations.                    The reason is to reduce the effort of document                    processing in digital libraries. Further, we perform                    feature selection and extension by means of social                    ontologies and related web-based lexical resources.                    This is done to provide reliable topic-related                    classifications while circumventing the problem of data                    sparseness. Finally, we evaluate our model by means of                    two language-specific corpora. This paper bridges                    digital libraries on the one hand and computational                    linguistics on the other. The aim is to make accessible                    computational linguistic methods to provide thematic                    classifications in digital libraries based on closed                    topic models as the DDC. Design/methodology/approach:                    text classification, text-technology, computational                    linguistics, computational semantics, social semantics.                    Findings: We show that SVM-based classifiers perform                    best by exploring certain selections of OAI document                    metadata. Research limitations/implications: The                    findings show that it is necessary to further develop                    SVM-based DDC-classifiers by using larger training sets                    possibly for more than two languages in order to get                    better F-measure values. Practical implications: We can                    show that DDC-classifications come into reach which                    primarily explore OAI metadata. Originality/value: We                    provide algorithmic and formal-mathematical information                    how to build DDC-classifiers for digital libraries.
    @Article{Mehler:Waltinger:2009:b,
      Author         = {Mehler, Alexander and Waltinger, Ulli},
      Title          = {Enhancing Document Modeling by Means of Open Topic
                       Models: Crossing the Frontier of Classification Schemes
                       in Digital Libraries by Example of the DDC},
      Journal        = {Library Hi Tech},
      Volume         = {27},
      Number         = {4},
      Pages          = {520-539},
      abstract       = {Purpose: We present a topic classification model using
                       the Dewey Decimal Classification (DDC) as the target
                       scheme. This is done by exploring metadata as provided
                       by the Open Archives Initiative (OAI) to derive
                       document snippets as minimal document representations.
                       The reason is to reduce the effort of document
                       processing in digital libraries. Further, we perform
                       feature selection and extension by means of social
                       ontologies and related web-based lexical resources.
                       This is done to provide reliable topic-related
                       classifications while circumventing the problem of data
                       sparseness. Finally, we evaluate our model by means of
                       two language-specific corpora. This paper bridges
                       digital libraries on the one hand and computational
                       linguistics on the other. The aim is to make accessible
                       computational linguistic methods to provide thematic
                       classifications in digital libraries based on closed
                       topic models as the DDC. Design/methodology/approach:
                       text classification, text-technology, computational
                       linguistics, computational semantics, social semantics.
                       Findings: We show that SVM-based classifiers perform
                       best by exploring certain selections of OAI document
                       metadata. Research limitations/implications: The
                       findings show that it is necessary to further develop
                       SVM-based DDC-classifiers by using larger training sets
                       possibly for more than two languages in order to get
                       better F-measure values. Practical implications: We can
                       show that DDC-classifications come into reach which
                       primarily explore OAI metadata. Originality/value: We
                       provide algorithmic and formal-mathematical information
                       how to build DDC-classifiers for digital libraries.},
      pdf            = {https://www.texttechnologylab.org/wp-content/uploads/2015/08/mehler_waltinger_2009_b.pdf},
      website        = {http://biecoll.ub.uni-bielefeld.de/frontdoor.php?source_opus=5001&la=de},
      year           = 2009
    }
  • [PDF] R. Gleim, U. Waltinger, A. Ernst, A. Mehler, D. Esch, and T. Feith, “The eHumanities Desktop – An Online System for Corpus Management and Analysis in Support of Computing in the Humanities,” in Proceedings of the Demonstrations Session of the 12th Conference of the European Chapter of the Association for Computational Linguistics EACL 2009, 30 March – 3 April, Athens, 2009.
    [BibTeX]

    @InProceedings{Gleim:Waltinger:Ernst:Mehler:Esch:Feith:2009,
      Author         = {Gleim, Rüdiger and Waltinger, Ulli and Ernst,
                       Alexandra and Mehler, Alexander and Esch, Dietmar and
                       Feith, Tobias},
      Title          = {The eHumanities Desktop – An Online System for
                       Corpus Management and Analysis in Support of Computing
                       in the Humanities},
      BookTitle      = {Proceedings of the Demonstrations Session of the 12th
                       Conference of the European Chapter of the Association
                       for Computational Linguistics EACL 2009, 30 March – 3
                       April, Athens},
      pdf            = {https://www.texttechnologylab.org/wp-content/uploads/2015/08/gleim_waltinger_ernst_mehler_esch_feith_2009.pdf},
      year           = 2009
    }
  • A. Mehler, “Artifizielle Interaktivität. Eine semiotische Betrachtung,” in Medienwandel als Wandel von Interaktionsformen – von frühen Medienkulturen zum Web 2.0, T. Sutter and A. Mehler, Eds., Wiesbaden: VS, 2009.
    [BibTeX]

    @InCollection{Mehler:2009:d,
      Author         = {Mehler, Alexander},
      Title          = {Artifizielle Interaktivit{\"a}t. Eine semiotische
                       Betrachtung},
      BookTitle      = {Medienwandel als Wandel von Interaktionsformen – von
                       frühen Medienkulturen zum Web 2.0},
      Publisher      = {VS},
      Editor         = {Sutter, Tilmann and Mehler, Alexander},
      Address        = {Wiesbaden},
      year           = 2009
    }
  • [PDF] U. Waltinger and A. Mehler, “The Feature Difference Coefficient: Classification by Means of Feature Distributions,” in Proceedings of the Conference on Text Mining Services (TMS 2009), Leipzig, 2009, p. 159–168.
    [BibTeX]

    @InProceedings{Waltinger:Mehler:2009:a,
      Author         = {Waltinger, Ulli and Mehler, Alexander},
      Title          = {The Feature Difference Coefficient: Classification by
                       Means of Feature Distributions},
      BookTitle      = {Proceedings of the Conference on Text Mining Services
                       (TMS 2009)},
      Series         = {Leipziger Beitr{\"a}ge zur Informatik: Band XIV},
      Pages          = {159–168},
      Address        = {Leipzig},
      Publisher      = {Leipzig University},
      pdf            = {https://www.texttechnologylab.org/wp-content/uploads/2015/08/waltinger_mehler_2009_a.pdf},
      year           = 2009
    }
  • [PDF] M. Santini, G. Rehm, S. Sharoff, and A. Mehler, Automatic Genre Identification: Issues and Prospects, M. Santini, G. Rehm, S. Sharoff, and A. Mehler, Eds., GSCL, 2009, vol. 24(1).
    [BibTeX]

    @Book{Santini:Rehm:Sharoff:Mehler:2009,
      Author         = {Santini, Marina and Rehm, Georg and Sharoff, Serge and
                       Mehler, Alexander},
      Editor         = {Santini, Marina and Rehm, Georg and Sharoff, Serge and
                       Mehler, Alexander},
      Title          = {Automatic Genre Identification: Issues and Prospects},
      Publisher      = {GSCL},
      Volume         = {24(1)},
      Series         = {Journal for Language Technology and Computational
                       Linguistics (JLCL)},
      image          = {https://www.texttechnologylab.org/wp-content/uploads/2015/09/AutomaticGenreIdentification.png},
      pagetotal      = {148},
      pdf            = {http://www.jlcl.org/2009_Heft1/JLCL24(1).pdf},
      year           = 2009
    }
  • [PDF] U. Waltinger, A. Mehler, and R. Gleim, “Social Semantics And Its Evaluation By Means of Closed Topic Models: An SVM-Classification Approach Using Semantic Feature Replacement By Topic Generalization,” in Proceedings of the Biennial GSCL Conference 2009, September 30 – October 2, Universität Potsdam, 2009.
    [BibTeX]

    @InProceedings{Waltinger:Mehler:Gleim:2009:a,
      Author         = {Waltinger, Ulli and Mehler, Alexander and Gleim,
                       Rüdiger},
      Title          = {Social Semantics And Its Evaluation By Means of Closed
                       Topic Models: An SVM-Classification Approach Using
                       Semantic Feature Replacement By Topic Generalization},
      BookTitle      = {Proceedings of the Biennial GSCL Conference 2009,
                       September 30 – October 2, Universit{\"a}t Potsdam},
      pdf            = {https://www.texttechnologylab.org/wp-content/uploads/2015/08/GSCL_2009_WaltingerMehlerGleim_camera_ready.pdf},
      year           = 2009
    }
  • U. Waltinger and A. Mehler, “Social Semantics and Its Evaluation By Means Of Semantic Relatedness And Open Topic Models,” in IEEE/WIC/ACM International Conference on Web Intelligence, September 15–18, Milano, 2009.
    [Abstract] [BibTeX]

    This paper presents an approach using social semantics                    for the task of topic labelling by means of Open Topic                    Models. Our approach utilizes a social ontology to                    create an alignment of documents within a social                    network. Comprised category information is used to                    compute a topic generalization. We propose a                    feature-frequency-based method for measuring semantic                    relatedness which is needed in order to reduce the                    number of document features for the task of topic                    labelling. This method is evaluated against multiple                    human judgement experiments comprising two languages                    and three different resources. Overall the results show                    that social ontologies provide a rich source of                    terminological knowledge. The performance of the                    semantic relatedness measure with correlation values of                    up to .77 are quite promising. Results on the topic                    labelling experiment show, with an accuracy of up to                    .79, that our approach can be a valuable method for                    various NLP applications.
    @InProceedings{Waltinger:Mehler:2009:c,
      Author         = {Waltinger, Ulli and Mehler, Alexander},
      Title          = {Social Semantics and Its Evaluation By Means Of
                       Semantic Relatedness And Open Topic Models},
      BookTitle      = {IEEE/WIC/ACM International Conference on Web
                       Intelligence, September 15–18, Milano},
      abstract       = {This paper presents an approach using social semantics
                       for the task of topic labelling by means of Open Topic
                       Models. Our approach utilizes a social ontology to
                       create an alignment of documents within a social
                       network. Comprised category information is used to
                       compute a topic generalization. We propose a
                       feature-frequency-based method for measuring semantic
                       relatedness which is needed in order to reduce the
                       number of document features for the task of topic
                       labelling. This method is evaluated against multiple
                       human judgement experiments comprising two languages
                       and three different resources. Overall the results show
                       that social ontologies provide a rich source of
                       terminological knowledge. The performance of the
                       semantic relatedness measure with correlation values of
                       up to .77 are quite promising. Results on the topic
                       labelling experiment show, with an accuracy of up to
                       .79, that our approach can be a valuable method for
                       various NLP applications.},
      website        = {http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5284920&abstractAccess=no&userType=inst},
      year           = 2009
    }

2008 (18)

  • [PDF] M. Stührenberg, M. Beißwenger, K. Kühnberger, A. Mehler, H. Lüngen, D. Metzing, and U. Mönnich, “Sustainability of Text-Technological Resources,” in Proceedings of the Post LREC-2008 Workshop: Sustainability of Language Resources and Tools for Natural Language Processing Marrakech, Morocco, 2008.
    [Abstract] [BibTeX]

    We consider that there are obvious relationships                    between research on sustainability of language and                    linguistic resources on the one hand and work                    undertaken in the Research Unit 'Text-Technological                    Modelling of Information' on the other. Currently the                    main focus in sustainability research is concerned with                    archiving methods of textual resources, i.e. methods                    for sustainability of primary and secondary data; these                    aspects are addressed in our work as well. However, we                    believe that there are additional certain aspects of                    sustainability on which new light is shed on by                    procedures, algorithms and dynamic processes undertaken                    in our Research Unit
    @InProceedings{Stuehrenberg:Beisswenger:Kuehnberger:Mehler:Luengen:Metzing:Moennich:2008,
      Author         = {Stührenberg, Maik and Bei{\ss}wenger, Michael and
                       Kühnberger, Kai-Uwe and Mehler, Alexander and Lüngen,
                       Harald and Metzing, Dieter and Mönnich, Uwe},
      Title          = {Sustainability of Text-Technological Resources},
      BookTitle      = {Proceedings of the Post LREC-2008 Workshop:
                       Sustainability of Language Resources and Tools for
                       Natural Language Processing Marrakech, Morocco},
      abstract       = {We consider that there are obvious relationships
                       between research on sustainability of language and
                       linguistic resources on the one hand and work
                       undertaken in the Research Unit 'Text-Technological
                       Modelling of Information' on the other. Currently the
                       main focus in sustainability research is concerned with
                       archiving methods of textual resources, i.e. methods
                       for sustainability of primary and secondary data; these
                       aspects are addressed in our work as well. However, we
                       believe that there are additional certain aspects of
                       sustainability on which new light is shed on by
                       procedures, algorithms and dynamic processes undertaken
                       in our Research Unit},
      pdf            = {http://www.michael-beisswenger.de/pub/lrec-sustainability.pdf},
      year           = 2008
    }
  • A. Mehler, B. Job, P. Blanchard, and H. Eikmeyer, “Sprachliche Netzwerke,” in Netzwerkanalyse und Netzwerktheorie, C. Stegbauer, Ed., Wiesbaden: VS, 2008, pp. 413-427.
    [Abstract] [BibTeX]

    In diesem Kapitel beschreiben wir so genannte                    sprachliche Netzwerke. Dabei handelt es sich um                    Netzwerke sprachlicher Einheiten, die in Zusammenhang                    mit ihrer Einbettung in das Netzwerk jener                    Sprachgemeinschaft analysiert werden, welche diese                    Einheiten und deren Vernetzung hervorgebracht hat. Wir                    erörtern ein Dreistufenmodell zur Analyse solcher                    Netzwerke und exemplifizieren dieses Modell anhand                    mehrerer Spezialwikis. Ein Hauptaugenmerk des Kapitels                    liegt dabei auf einem Mehrebenennetzwerkmodell, und                    zwar in Abkehr von den unipartiten Graphmodellen der                    Theorie komplexer Netzwerke.
    @InCollection{Mehler:Job:Blanchard:Eikmeyer:2008,
      Author         = {Mehler, Alexander and Job, Barbara and Blanchard,
                       Philippe and Eikmeyer, Hans-Jürgen},
      Title          = {Sprachliche Netzwerke},
      BookTitle      = {Netzwerkanalyse und Netzwerktheorie},
      Publisher      = {VS},
      Editor         = {Stegbauer, Christian},
      Pages          = {413-427},
      Address        = {Wiesbaden},
      abstract       = {In diesem Kapitel beschreiben wir so genannte
                       sprachliche Netzwerke. Dabei handelt es sich um
                       Netzwerke sprachlicher Einheiten, die in Zusammenhang
                       mit ihrer Einbettung in das Netzwerk jener
                       Sprachgemeinschaft analysiert werden, welche diese
                       Einheiten und deren Vernetzung hervorgebracht hat. Wir
                       erörtern ein Dreistufenmodell zur Analyse solcher
                       Netzwerke und exemplifizieren dieses Modell anhand
                       mehrerer Spezialwikis. Ein Hauptaugenmerk des Kapitels
                       liegt dabei auf einem Mehrebenennetzwerkmodell, und
                       zwar in Abkehr von den unipartiten Graphmodellen der
                       Theorie komplexer Netzwerke.},
      year           = 2008
    }
  • [PDF] O. Abramov, A. Mehler, and R. Gleim, “A Unified Database of Dependency Treebanks. Integrating, Quantifying and Evaluating Dependency Data,” in Proceedings of the 6th Language Resources and Evaluation Conference (LREC 2008), Marrakech (Morocco), 2008.
    [Abstract] [BibTeX]

    This paper describes a database of 11 dependency                    treebanks which were unified by means of a                    two-dimensional graph format. The format was evaluated                    with respect to storage-complexity on the one hand, and                    efficiency of data access on the other hand. An example                    of how the treebanks can be integrated within a unique                    interface is given by means of the DTDB interface. 
    @InProceedings{Pustylnikov:Mehler:Gleim:2008,
      Author         = {Abramov, Olga and Mehler, Alexander and Gleim,
                       Rüdiger},
      Title          = {A Unified Database of Dependency Treebanks.
                       Integrating, Quantifying and Evaluating Dependency Data},
      BookTitle      = {Proceedings of the 6th Language Resources and
                       Evaluation Conference (LREC 2008), Marrakech (Morocco)},
      abstract       = {This paper describes a database of 11 dependency
                       treebanks which were unified by means of a
                       two-dimensional graph format. The format was evaluated
                       with respect to storage-complexity on the one hand, and
                       efficiency of data access on the other hand. An example
                       of how the treebanks can be integrated within a unique
                       interface is given by means of the DTDB interface. },
      pdf            = {http://wwwhomes.uni-bielefeld.de/opustylnikov/pustylnikov/pdfs/LREC08_full.pdf},
      year           = 2008
    }
  • [PDF] [DOI] A. Mehler, “Structural Similarities of Complex Networks: A Computational Model by Example of Wiki Graphs,” Applied Artificial Intelligence, vol. 22, iss. 7&8, p. 619–683, 2008.
    [Abstract] [BibTeX]

    This article elaborates a framework for representing                    and classifying large complex networks by example of                    wiki graphs. By means of this framework we reliably                    measure the similarity of document, agent, and word                    networks by solely regarding their topology. In doing                    so, the article departs from classical approaches to                    complex network theory which focuses on topological                    characteristics in order to check their small world                    property. This does not only include characteristics                    that have been studied in complex network theory, but                    also some of those which were invented in social                    network analysis and hypertext theory. We show that                    network classifications come into reach which go beyond                    the hypertext structures traditionally analyzed in web                    mining. The reason is that we focus on networks as a                    whole as units to be classified—above the level of                    websites and their constitutive pages. As a                    consequence, we bridge classical approaches to text and                    web mining on the one hand and complex network theory                    on the other hand. Last but not least, this approach                    also provides a framework for quantifying the                    linguistic notion of intertextuality.
    @Article{Mehler:2008:a,
      Author         = {Mehler, Alexander},
      Title          = {Structural Similarities of Complex Networks: A
                       Computational Model by Example of Wiki Graphs},
      Journal        = {Applied Artificial Intelligence},
      Volume         = {22},
      Number         = {7\&8},
      Pages          = {619–683},
      abstract       = {This article elaborates a framework for representing
                       and classifying large complex networks by example of
                       wiki graphs. By means of this framework we reliably
                       measure the similarity of document, agent, and word
                       networks by solely regarding their topology. In doing
                       so, the article departs from classical approaches to
                       complex network theory which focuses on topological
                       characteristics in order to check their small world
                       property. This does not only include characteristics
                       that have been studied in complex network theory, but
                       also some of those which were invented in social
                       network analysis and hypertext theory. We show that
                       network classifications come into reach which go beyond
                       the hypertext structures traditionally analyzed in web
                       mining. The reason is that we focus on networks as a
                       whole as units to be classified—above the level of
                       websites and their constitutive pages. As a
                       consequence, we bridge classical approaches to text and
                       web mining on the one hand and complex network theory
                       on the other hand. Last but not least, this approach
                       also provides a framework for quantifying the
                       linguistic notion of intertextuality.},
      doi            = {10.1080/08839510802164085},
      pdf            = {https://www.texttechnologylab.org/wp-content/uploads/2016/10/mehler_2008_Structural_Similarities_of_Complex_Networks.pdf},
      website        = {https://www.researchgate.net/publication/200772675_Structural_similarities_of_complex_networks_A_computational_model_by_example_of_wiki_graphs},
      year           = 2008
    }
  • [PDF] A. Mehler, Lexical-Semantic Resources in Automated Discourse Analysis, H. Lüngen, A. Mehler, and A. Storrer, Eds., GSCL, 2008, vol. 23(2).
    [BibTeX]

    @Book{Luengen:Mehler:Storrer:2008:a,
      Author         = {Mehler, Alexander},
      Editor         = {Lüngen, Harald and Mehler, Alexander and Storrer,
                       Angelika},
      Title          = {Lexical-Semantic Resources in Automated Discourse
                       Analysis},
      Publisher      = {GSCL},
      Volume         = {23(2)},
      Series         = {Journal for Language Technology and Computational
                       Linguistics (JLCL)},
      image          = {https://www.texttechnologylab.org/wp-content/uploads/2015/09/LexicalSemanticResources-300-20.png},
      pagetotal      = {111},
      pdf            = {{http://www.jlcl.org/2008_Heft2/JLCL23(2).pdf}},
      website        = {https://www.researchgate.net/publication/228956889_Lexical-Semantic_Resources_in_Automated_Discourse_Analysis},
      year           = 2008
    }
  • [PDF] A. Mehler, “Large Text Networks as an Object of Corpus Linguistic Studies,” in Corpus Linguistics. An International Handbook of the Science of Language and Society, A. Lüdeling and M. Kytö, Eds., Berlin/New York: De Gruyter, 2008, p. 328–382.
    [BibTeX]

    @InCollection{Mehler:2008:b,
      Author         = {Mehler, Alexander},
      Title          = {Large Text Networks as an Object of Corpus Linguistic
                       Studies},
      BookTitle      = {Corpus Linguistics. An International Handbook of the
                       Science of Language and Society},
      Publisher      = {De Gruyter},
      Editor         = {Lüdeling, Anke and Kytö, Merja},
      Pages          = {328–382},
      Address        = {Berlin/New York},
      pdf            = {https://www.texttechnologylab.org/wp-content/uploads/2015/08/mehler_2007_a.pdf},
      year           = 2008
    }
  • [PDF] O. Pustylnikov and A. Mehler, “Text classification by means of structural features. What kind of information about texts is captured by their structure?,” in Proceedings of RUSSIR ’08, September 1-5, Taganrog, Russia, 2008.
    [BibTeX]

    @InProceedings{Pustylnikov:Mehler:2008:c,
      Author         = {Pustylnikov, Olga and Mehler, Alexander},
      Title          = {Text classification by means of structural features.
                       What kind of information about texts is captured by
                       their structure?},
      BookTitle      = {Proceedings of RUSSIR '08, September 1-5, Taganrog,
                       Russia},
      pdf            = {http://www.www.texttechnologylab.org/data/pdf/mehler_geibel_pustylnikov_2007.pdf},
      year           = 2008
    }
  • [PDF] U. Waltinger, A. Mehler, and M. Stührenberg, “An Integrated Model of Lexical Chaining: Applications, Resources and their Format,” in Proceedings of KONVENS 2008 – Ergänzungsband Textressourcen und lexikalisches Wissen, 2008, pp. 59-70.
    [BibTeX]

    @InProceedings{Waltinger:Mehler:Stuehrenberg:2008,
      Author         = {Waltinger, Ulli and Mehler, Alexander and
                       Stührenberg, Maik},
      Title          = {An Integrated Model of Lexical Chaining: Applications,
                       Resources and their Format},
      BookTitle      = {Proceedings of KONVENS 2008 – Erg{\"a}nzungsband
                       Textressourcen und lexikalisches Wissen},
      Editor         = {Storrer, Angelika and Geyken, Alexander and Siebert,
                       Alexander and Würzner, Kay-Michael},
      Pages          = {59-70},
      pdf            = {http://www.ulliwaltinger.de/pdf/Konvens_2008_Integrated_Model_of_Lexical_Chaining_WaltingerMehlerStuehrenberg.pdf},
      year           = 2008
    }
  • [PDF] A. Mehler, “A Model of the Distribution of the Distances of Alike Elements in Dialogical Communication,” in Proceedings of the International Conference on Information Theory and Statistical Learning (ITSL ’08), July 14-15, 2008, Las Vegas, 2008, pp. 45-50.
    [BibTeX]

    @InProceedings{Mehler:2008:c,
      Author         = {Mehler, Alexander},
      Title          = {A Model of the Distribution of the Distances of Alike
                       Elements in Dialogical Communication},
      BookTitle      = {Proceedings of the International Conference on
                       Information Theory and Statistical Learning (ITSL '08),
                       July 14-15, 2008, Las Vegas},
      Pages          = {45-50},
      pdf            = {https://www.texttechnologylab.org/wp-content/uploads/2015/08/mehler_2008_c.pdf},
      year           = 2008
    }
  • [PDF] [http://dblp.uni-trier.de/db/conf/webist/webist2008-2.html#WaltingerMH08] U. Waltinger, A. Mehler, and G. Heyer, “Towards Automatic Content Tagging: Enhanced Web Services in Digital Libraries Using Lexical Chaining,” in 4th Int. Conf. on Web Information Systems and Technologies (WEBIST ’08), 4-7 May, Funchal, Portugal, Barcelona, 2008, pp. 231-236.
    [BibTeX]

    @InProceedings{Waltinger:Mehler:Heyer:2008,
      Author         = {Waltinger, Ulli and Mehler, Alexander and Heyer,
                       Gerhard},
      Title          = {Towards Automatic Content Tagging: Enhanced Web
                       Services in Digital Libraries Using Lexical Chaining},
      BookTitle      = {4th Int. Conf. on Web Information Systems and
                       Technologies (WEBIST '08), 4-7 May, Funchal, Portugal},
      Editor         = {Cordeiro, José and Filipe, Joaquim and Hammoudi,
                       Slimane},
      Pages          = {231-236},
      Address        = {Barcelona},
      Publisher      = {INSTICC Press},
      pdf            = {http://www.ulliwaltinger.de/pdf/Webist_2008_Towards_Automatic_Content_Tagging_WaltingerMehlerHeyer.pdf},
      url            = {http://dblp.uni-trier.de/db/conf/webist/webist2008-2.html#WaltingerMH08},
      website        = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.463.3097},
      year           = 2008
    }
  • [PDF] A. Mehler, “A Short Note on Social-Semiotic Networks from the Point of View of Quantitative Semantics,” in Proceedings of the Dagstuhl Seminar on Social Web Communities, September 21-26, Dagstuhl, 2008.
    [BibTeX]

    @InProceedings{Mehler:2008:f,
      Author         = {Mehler, Alexander},
      Title          = {A Short Note on Social-Semiotic Networks from the
                       Point of View of Quantitative Semantics},
      BookTitle      = {Proceedings of the Dagstuhl Seminar on Social Web
                       Communities, September 21-26, Dagstuhl},
      Editor         = {Alani, Harith and Staab, Steffen and Stumme, Gerd},
      pdf            = {http://drops.dagstuhl.de/opus/volltexte/2008/1788/pdf/08391.MehlerAlexander.ExtAbstract.1788.pdf},
      year           = 2008
    }
  • [PDF] A. Mehler, R. Gleim, A. Ernst, and U. Waltinger, “WikiDB: Building Interoperable Wiki-Based Knowledge Resources for Semantic Databases,” Sprache und Datenverarbeitung. International Journal for Language Data Processing, vol. 32, iss. 1, pp. 47-70, 2008.
    [Abstract] [BibTeX]

    This article describes an API for exploring the                    logical document and the logical network structure of                    wikis. It introduces an algorithm for the semantic                    preprocessing, filtering and typing of these building                    blocks. Further, this article models the process of                    wiki generation based on a unified format of syntactic,                    semantic and pragmatic representations. This                    three-level approach to make accessible syntactic,                    semantic and pragmatic aspects of wiki-based structure                    formation is complemented by a corresponding database                    model – called WikiDB – and an API operating                    thereon. Finally, the article provides an empirical                    study of using the three-fold representation format in                    conjunction with WikiDB.
    @Article{Mehler:Gleim:Ernst:Waltinger:2008,
      Author         = {Mehler, Alexander and Gleim, Rüdiger and Ernst,
                       Alexandra and Waltinger, Ulli},
      Title          = {WikiDB: Building Interoperable Wiki-Based Knowledge
                       Resources for Semantic Databases},
      Journal        = {Sprache und Datenverarbeitung. International Journal
                       for Language Data Processing},
      Volume         = {32},
      Number         = {1},
      Pages          = {47-70},
      abstract       = {This article describes an API for exploring the
                       logical document and the logical network structure of
                       wikis. It introduces an algorithm for the semantic
                       preprocessing, filtering and typing of these building
                       blocks. Further, this article models the process of
                       wiki generation based on a unified format of syntactic,
                       semantic and pragmatic representations. This
                       three-level approach to make accessible syntactic,
                       semantic and pragmatic aspects of wiki-based structure
                       formation is complemented by a corresponding database
                       model – called WikiDB – and an API operating
                       thereon. Finally, the article provides an empirical
                       study of using the three-fold representation format in
                       conjunction with WikiDB.},
      pdf            = {http://www.ulliwaltinger.de/pdf/Konvens_2008_WikiDB_Building_Semantic_Databases_MehlerGleimErnstWaltinger.pdf},
      year           = 2008
    }
  • [PDF] U. Waltinger and A. Mehler, “Who is it? Context sensitive named entity and instance recognition by means of Wikipedia,” in Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence (WI-2008), 2008, p. 381–384.
    [BibTeX]

    @InProceedings{Waltinger:Mehler:2008:a,
      Author         = {Waltinger, Ulli and Mehler, Alexander},
      Title          = {Who is it? Context sensitive named entity and instance
                       recognition by means of Wikipedia},
      BookTitle      = {Proceedings of the 2008 IEEE/WIC/ACM International
                       Conference on Web Intelligence (WI-2008)},
      Pages          = {381–384},
      Publisher      = {IEEE Computer Society},
      pdf            = {http://www.ulliwaltinger.de/pdf/WI_2008_Context_Sensitive_Instance_Recognition_WaltingerMehler.pdf},
      website        = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.324.5881},
      year           = 2008
    }
  • [PDF] A. Lücking, A. Mehler, and P. Menke, “Taking Fingerprints of Speech-and-Gesture Ensembles: Approaching Empirical Evidence of Intrapersonal Alignment in Multimodal Communication,” in LONDIAL 2008: Proceedings of the 12th Workshop on the Semantics and Pragmatics of Dialogue (SEMDIAL), King’s College London, 2008, p. 157–164.
    [BibTeX]

    @InProceedings{Luecking:Mehler:Menke:2008,
      Author         = {Lücking, Andy and Mehler, Alexander and Menke, Peter},
      Title          = {Taking Fingerprints of Speech-and-Gesture Ensembles:
                       Approaching Empirical Evidence of Intrapersonal
                       Alignment in Multimodal Communication},
      BookTitle      = {LONDIAL 2008: Proceedings of the 12th Workshop on the
                       Semantics and Pragmatics of Dialogue (SEMDIAL)},
      Pages          = {157–164},
      Address        = {King's College London},
      month          = {June 2–4},
      pdf            = {https://www.texttechnologylab.org/wp-content/uploads/2015/08/luecking_mehler_menke_2008.pdf},
      website        = {https://www.researchgate.net/publication/237305375_Taking_Fingerprints_of_Speech-and-Gesture_Ensembles_Approaching_Empirical_Evidence_of_Intrapersonal_Alignment_in_Multimodal_Communication},
      year           = 2008
    }
  • A. Mehler and T. Sutter, “Interaktive Textproduktion in Wiki-basierten Kommunikationssystemen,” in Kommunikation, Partizipation und Wirkungen im Social Web – Weblogs, Wikis, Podcasts und Communities aus interdisziplinärer Sicht, A. Zerfaß, M. Welker, and J. Schmidt, Eds., Köln: Herbert von Halem, 2008, pp. 267-300.
    [Abstract] [BibTeX]

    This article addresses challenges in maintaining and                    annotating image resources in the field of iconographic                    research. We focus on the task of bringing together                    generic and extensible techniques for resource and                    anno- tation management with the highly specific                    demands in this area of research. Special emphasis is                    put on the interrelation of images, image segements and                    textual contents. In addition, we describe the                    architecture, data model and user interface of the open                    annotation system used in the image database                    application that is a part of the eHumanities Desktop.
    @InCollection{Mehler:Sutter:2008,
      Author         = {Mehler, Alexander and Sutter, Tilmann},
      Title          = {Interaktive Textproduktion in Wiki-basierten
                       Kommunikationssystemen},
      BookTitle      = {Kommunikation, Partizipation und Wirkungen im Social
                       Web – Weblogs, Wikis, Podcasts und Communities aus
                       interdisziplin{\"a}rer Sicht},
      Publisher      = {Herbert von Halem},
      Editor         = {Zerfa{\ss}, Ansgar and Welker, Martin and Schmidt, Jan},
      Pages          = {267-300},
      Address        = {Köln},
      abstract       = {This article addresses challenges in maintaining and
                       annotating image resources in the field of iconographic
                       research. We focus on the task of bringing together
                       generic and extensible techniques for resource and
                       anno- tation management with the highly specific
                       demands in this area of research. Special emphasis is
                       put on the interrelation of images, image segements and
                       textual contents. In addition, we describe the
                       architecture, data model and user interface of the open
                       annotation system used in the image database
                       application that is a part of the eHumanities Desktop.},
      year           = 2008
    }
  • [PDF] A. Mehler, “On the Impact of Community Structure on Self-Organizing Lexical Networks,” in Proceedings of the 7th Evolution of Language Conference (Evolang 2008), March 11-15, 2008, Barcelona, 2008, pp. 227-234.
    [Abstract] [BibTeX]

    This paper presents a simulation model of                    self-organizing lexical networks. Its starting point is                    the notion of an association game in which the impact                    of varying community models is studied on the emergence                    of lexical networks. The paper reports on experiments                    whose results are in accordance with findings in the                    framework of the naming game. This is done by means of                    a multilevel network model in which the correlation of                    social and of linguistic networks is studied
    @InProceedings{Mehler:2008:e,
      Author         = {Mehler, Alexander},
      Title          = {On the Impact of Community Structure on
                       Self-Organizing Lexical Networks},
      BookTitle      = {Proceedings of the 7th Evolution of Language
                       Conference (Evolang 2008), March 11-15, 2008, Barcelona},
      Editor         = {Smith, Andrew D. M. and Smith, Kenny and Cancho, Ramon
                       Ferrer i},
      Pages          = {227-234},
      Publisher      = {World Scientific},
      abstract       = {This paper presents a simulation model of
                       self-organizing lexical networks. Its starting point is
                       the notion of an association game in which the impact
                       of varying community models is studied on the emergence
                       of lexical networks. The paper reports on experiments
                       whose results are in accordance with findings in the
                       framework of the naming game. This is done by means of
                       a multilevel network model in which the correlation of
                       social and of linguistic networks is studied},
      pdf            = {https://www.texttechnologylab.org/wp-content/uploads/2015/08/mehler_2008_b.pdf},
      website        = {http://stel.ub.edu/evolang2008/evo10.htm},
      year           = 2008
    }
  • [PDF] O. Abramov and A. Mehler, “Towards a Uniform Representation of Treebanks: Providing Interoperability for Dependency Tree Data,” in Proceedings of First International Conference on Global Interoperability for Language Resources (ICGL 2008), Hong Kong SAR, January 9-11, 2008.
    [Abstract] [BibTeX]

    In this paper we present a corpus representation                    format which unifies the representation of a wide range                    of dependency treebanks within a single model. This                    approach provides interoperability and reusability of                    annotated syntactic data which in turn extends its                    applicability within various research contexts. We                    demonstrate our approach by means of dependency                    treebanks of 11 languages. Further, we perform a                    comparative quantitative analysis of these treebanks in                    order to demonstrate the interoperability of our                    approach. 
    @InProceedings{Pustylnikov:Mehler:2008:a,
      Author         = {Abramov, Olga and Mehler, Alexander},
      Title          = {Towards a Uniform Representation of Treebanks:
                       Providing Interoperability for Dependency Tree Data},
      BookTitle      = {Proceedings of First International Conference on
                       Global Interoperability for Language Resources (ICGL
                       2008), Hong Kong SAR, January 9-11},
      abstract       = {In this paper we present a corpus representation
                       format which unifies the representation of a wide range
                       of dependency treebanks within a single model. This
                       approach provides interoperability and reusability of
                       annotated syntactic data which in turn extends its
                       applicability within various research contexts. We
                       demonstrate our approach by means of dependency
                       treebanks of 11 languages. Further, we perform a
                       comparative quantitative analysis of these treebanks in
                       order to demonstrate the interoperability of our
                       approach. },
      pdf            = {http://wwwhomes.uni-bielefeld.de/opustylnikov/pustylnikov/pdfs/acl07.1.0.pdf},
      website        = {https://www.researchgate.net/publication/242681771_Towards_a_Uniform_Representation_of_Treebanks_Providing_Interoperability_for_Dependency_Tree_Data},
      year           = 2008
    }
  • [PDF] G. Rehm, M. Santini, A. Mehler, P. Braslavski, R. Gleim, A. Stubbe, S. Symonenko, M. Tavosanis, and V. Vidulin, “Towards a Reference Corpus of Web Genres for the Evaluation of Genre Identification Systems,” in Proceedings of the 6th Language Resources and Evaluation Conference (LREC 2008), Marrakech (Morocco), 2008.
    [Abstract] [BibTeX]

    We present initial results from an international and                    multi-disciplinary research collaboration that aims at                    the construction of a reference corpus of web genres.                    The primary application scenario for which we plan to                    build this resource is the automatic identification of                    web genres. Web genres are rather difficult to capture                    and to describe in their entirety, but we plan for the                    finished reference corpus to contain multi-level tags                    of the respective genre or genres a web document or a                    website instantiates. As the construction of such a                    corpus is by no means a trivial task, we discuss                    several alternatives that are, for the time being,                    mostly based on existing collections. Furthermore, we                    discuss a shared set of genre categories and a                    multi-purpose tool as two additional prerequisites for                    a reference corpus of web genres. 
    @InProceedings{Rehm:Santini:Mehler:Braslavski:Gleim:Stubbe:Symonenko:Tavosanis:Vidulin:2008,
      Author         = {Rehm, Georg and Santini, Marina and Mehler, Alexander
                       and Braslavski, Pavel and Gleim, Rüdiger and Stubbe,
                       Andrea and Symonenko, Svetlana and Tavosanis, Mirko and
                       Vidulin, Vedrana},
      Title          = {Towards a Reference Corpus of Web Genres for the
                       Evaluation of Genre Identification Systems},
      BookTitle      = {Proceedings of the 6th Language Resources and
                       Evaluation Conference (LREC 2008), Marrakech (Morocco)},
      abstract       = {We present initial results from an international and
                       multi-disciplinary research collaboration that aims at
                       the construction of a reference corpus of web genres.
                       The primary application scenario for which we plan to
                       build this resource is the automatic identification of
                       web genres. Web genres are rather difficult to capture
                       and to describe in their entirety, but we plan for the
                       finished reference corpus to contain multi-level tags
                       of the respective genre or genres a web document or a
                       website instantiates. As the construction of such a
                       corpus is by no means a trivial task, we discuss
                       several alternatives that are, for the time being,
                       mostly based on existing collections. Furthermore, we
                       discuss a shared set of genre categories and a
                       multi-purpose tool as two additional prerequisites for
                       a reference corpus of web genres. },
      pdf            = {https://www.texttechnologylab.org/wp-content/uploads/2015/08/rehm_santini_mehler_braslavski_gleim_stubbe_symonenko_tavosanis_vidulin_2008.pdf},
      website        = {http://www.lrec-conf.org/proceedings/lrec2008/summaries/94.html},
      year           = 2008
    }

2007 (21)

  • [PDF] R. Gleim, A. Mehler, M. Dehmer, and O. Abramov, “Aisles through the Category Forest – Utilising the Wikipedia Category System for Corpus Building in Machine Learning,” in 3rd International Conference on Web Information Systems and Technologies (WEBIST ’07), March 3-6, 2007, Barcelona, Barcelona, 2007, pp. 142-149.
    [Abstract] [BibTeX]

    The Word Wide Web is a continuous challenge to machine                    learning. Established approaches have to be enhanced                    and new methods be developed in order to tackle the                    problem of finding and organising relevant information.                    It has often been motivated that semantic                    classifications of input documents help solving this                    task. But while approaches of supervised text                    categorisation perform quite well on genres found in                    written text, newly evolved genres on the web are much                    more demanding. In order to successfully develop                    approaches to web mining, respective corpora are                    needed. However, the composition of genre- or                    domain-specific web corpora is still an unsolved                    problem. It is time consuming to build large corpora of                    good quality because web pages typically lack reliable                    meta information. Wikipedia along with similar                    approaches of collaborative text production offers a                    way out of this dilemma. We examine how social tagging,                    as supported by the MediaWiki software, can be utilised                    as a source of corpus building. Further, we describe a                    representation format for social ontologies and present                    the Wikipedia Category Explorer, a tool which supports                    categorical views to browse through the Wikipedia and                    to construct domain specific corpora for machine                    learning.
    @InProceedings{Gleim:Mehler:Dehmer:Abramov:2007,
      Author         = {Gleim, Rüdiger and Mehler, Alexander and Dehmer,
                       Matthias and Abramov, Olga},
      Title          = {Aisles through the Category Forest – Utilising the
                       Wikipedia Category System for Corpus Building in
                       Machine Learning},
      BookTitle      = {3rd International Conference on Web Information
                       Systems and Technologies (WEBIST '07), March 3-6, 2007,
                       Barcelona},
      Editor         = {Filipe, Joaquim and Cordeiro, José and Encarnação,
                       Bruno and Pedrosa, Vitor},
      Pages          = {142-149},
      Address        = {Barcelona},
      abstract       = {The Word Wide Web is a continuous challenge to machine
                       learning. Established approaches have to be enhanced
                       and new methods be developed in order to tackle the
                       problem of finding and organising relevant information.
                       It has often been motivated that semantic
                       classifications of input documents help solving this
                       task. But while approaches of supervised text
                       categorisation perform quite well on genres found in
                       written text, newly evolved genres on the web are much
                       more demanding. In order to successfully develop
                       approaches to web mining, respective corpora are
                       needed. However, the composition of genre- or
                       domain-specific web corpora is still an unsolved
                       problem. It is time consuming to build large corpora of
                       good quality because web pages typically lack reliable
                       meta information. Wikipedia along with similar
                       approaches of collaborative text production offers a
                       way out of this dilemma. We examine how social tagging,
                       as supported by the MediaWiki software, can be utilised
                       as a source of corpus building. Further, we describe a
                       representation format for social ontologies and present
                       the Wikipedia Category Explorer, a tool which supports
                       categorical views to browse through the Wikipedia and
                       to construct domain specific corpora for machine
                       learning.},
      pdf            = {https://www.texttechnologylab.org/wp-content/uploads/2016/10/webist_2007-gleim_mehler_dehmer_pustylnikov.pdf},
      year           = 2007
    }
  • [PDF] A. Mehler, R. Gleim, and A. Wegner, “Structural Uncertainty of Hypertext Types. An Empirical Study,” in Proceedings of the Workshop "Towards Genre-Enabled Search Engines: The Impact of NLP", September, 30, 2007, in conjunction with RANLP 2007, Borovets, Bulgaria, 2007, pp. 13-19.
    [BibTeX]

    @InProceedings{Mehler:Gleim:Wegner:2007,
      Author         = {Mehler, Alexander and Gleim, Rüdiger and Wegner,
                       Armin},
      Title          = {Structural Uncertainty of Hypertext Types. An
                       Empirical Study},
      BookTitle      = {Proceedings of the Workshop "Towards Genre-Enabled
                       Search Engines: The Impact of NLP", September, 30,
                       2007, in conjunction with RANLP 2007, Borovets,
                       Bulgaria},
      Editor         = {Rehm, Georg and Santini, Marina},
      Pages          = {13-19},
      pdf            = {https://www.texttechnologylab.org/wp-content/uploads/2015/08/RANLP.pdf},
      year           = 2007
    }
  • [PDF] A. Mehler, “Evolving Lexical Networks. A Simulation Model of Terminological Alignment,” in Proceedings of the Workshop on Language, Games, and Evolution at the 9th European Summer School in Logic, Language and Information (ESSLLI 2007), Trinity College, Dublin, 6-17 August, 2007, pp. 57-67.
    [Abstract] [BibTeX]

    In this paper we describe a simulation model of                    terminological alignment in a multiagent community. It                    is based on the notion of an association game which is                    used instead of the classical notion of a naming game                    (Steels, 1996). The simulation model integrates a small                    world-like agent community which restricts agent                    communication. We hypothesize that this restriction is                    decisive when it comes to simulate terminological                    alignment based on lexical priming. The paper presents                    preliminary experimental results in support of this                    hypothesis.
    @InProceedings{Mehler:2007:d,
      Author         = {Mehler, Alexander},
      Title          = {Evolving Lexical Networks. A Simulation Model of
                       Terminological Alignment},
      BookTitle      = {Proceedings of the Workshop on Language, Games, and
                       Evolution at the 9th European Summer School in Logic,
                       Language and Information (ESSLLI 2007), Trinity
                       College, Dublin, 6-17 August},
      Editor         = {Benz, Anton and Ebert, Christian and van Rooij, Robert},
      Pages          = {57-67},
      abstract       = {In this paper we describe a simulation model of
                       terminological alignment in a multiagent community. It
                       is based on the notion of an association game which is
                       used instead of the classical notion of a naming game
                       (Steels, 1996). The simulation model integrates a small
                       world-like agent community which restricts agent
                       communication. We hypothesize that this restriction is
                       decisive when it comes to simulate terminological
                       alignment based on lexical priming. The paper presents
                       preliminary experimental results in support of this
                       hypothesis.},
      pdf            = {https://www.texttechnologylab.org/wp-content/uploads/2015/08/mehler_2007_d.pdf},
      year           = 2007
    }
  • [PDF] A. Mehler, P. Geibel, R. Gleim, S. Herold, B. Jain, and O. Abramov, “Much Ado About Text Content. Learning Text Types Solely by Structural Differentiae,” in Proceedings of OTT ’06 – Ontologies in Text Technology: Approaches to Extract Semantic Knowledge from Structured Information, Osnabrück, 2007, pp. 63-71.
    [Abstract] [BibTeX]

    In this paper, we deal with classifying texts into                    classes which denote text types whose textual instances                    serve more or less homogeneous functions. Other than                    mainstream approaches to text classification, which                    rely on the vector space model [30] or some of its                    descendants [2] and, thus, on content-related lexical                    features, we solely refer to structural differentiae,                    that is, to patterns of text structure as determinants                    of class membership. Further, we suppose that text                    types span a type hierarchy based on the type-subtype                    relation [31]. Thus, although we admit that class                    membership is fuzzy so that overlapping classes are                    inevitable, we suppose a non-overlapping type system                    structured into a rooted tree – whether solely based                    on functional or additional on, e.g., content- or                    mediabased criteria [1]. What regards criteria of                    goodness of classification, we perform a classical                    supervised categorization experiment [30] based on                    cross-validation as a method of model selection [11].                    That is, we perform a categorization experiment in                    which for all training and test cases class membership                    is known ex ante. In summary, we perform a supervised                    experiment of text classification in order to learn                    functionally grounded text types where membership to                    these types is solely based on structural criteria.
    @InProceedings{Mehler:Geibel:Gleim:Herold:Jain:Pustylnikov:2007,
      Author         = {Mehler, Alexander and Geibel, Peter and Gleim,
                       Rüdiger and Herold, Sebastian and Jain,
                       Brijnesh-Johannes and Abramov, Olga},
      Title          = {Much Ado About Text Content. Learning Text Types
                       Solely by Structural Differentiae},
      BookTitle      = {Proceedings of OTT '06 – Ontologies in Text
                       Technology: Approaches to Extract Semantic Knowledge
                       from Structured Information},
      Editor         = {Mönnich, Uwe and Kühnberger, Kai-Uwe},
      Series         = {Publications of the Institute of Cognitive Science
                       (PICS)},
      Pages          = {63-71},
      Address        = {Osnabrück},
      abstract       = {In this paper, we deal with classifying texts into
                       classes which denote text types whose textual instances
                       serve more or less homogeneous functions. Other than
                       mainstream approaches to text classification, which
                       rely on the vector space model [30] or some of its
                       descendants [2] and, thus, on content-related lexical
                       features, we solely refer to structural differentiae,
                       that is, to patterns of text structure as determinants
                       of class membership. Further, we suppose that text
                       types span a type hierarchy based on the type-subtype
                       relation [31]. Thus, although we admit that class
                       membership is fuzzy so that overlapping classes are
                       inevitable, we suppose a non-overlapping type system
                       structured into a rooted tree – whether solely based
                       on functional or additional on, e.g., content- or
                       mediabased criteria [1]. What regards criteria of
                       goodness of classification, we perform a classical
                       supervised categorization experiment [30] based on
                       cross-validation as a method of model selection [11].
                       That is, we perform a categorization experiment in
                       which for all training and test cases class membership
                       is known ex ante. In summary, we perform a supervised
                       experiment of text classification in order to learn
                       functionally grounded text types where membership to
                       these types is solely based on structural criteria.},
      pdf            = {http://ikw.uni-osnabrueck.de/~ott06/ott06-abstracts/Mehler_Geibel_abstract.pdf},
      year           = 2007
    }
  • M. Dehmer, A. Mehler, and F. Emmert-Streib, “Graph-theoretical Characterizations of Generalized Trees,” in Proceedings of the 2007 International Conference on Machine Learning: Models, Technologies & Applications (MLMTA ’07), June 25-28, 2007, Las Vegas, 2007, pp. 113-117.
    [BibTeX]

    @InProceedings{Dehmer:Mehler:Emmert-Streib:2007:a,
      Author         = {Dehmer, Matthias and Mehler, Alexander and
                       Emmert-Streib, Frank},
      Title          = {Graph-theoretical Characterizations of Generalized
                       Trees},
      BookTitle      = {Proceedings of the 2007 International Conference on
                       Machine Learning: Models, Technologies \& Applications
                       (MLMTA '07), June 25-28, 2007, Las Vegas},
      Pages          = {113-117},
      website        = {https://www.researchgate.net/publication/221188591_Graph-theoretical_Characterizations_of_Generalized_Trees},
      year           = 2007
    }
  • [PDF] R. Gleim, A. Mehler, and H. Eikmeyer, “Representing and Maintaining Large Corpora,” in Proceedings of the Corpus Linguistics 2007 Conference, Birmingham (UK), 2007.
    [BibTeX]

    @InProceedings{Gleim:Mehler:Eikmeyer:2007:a,
      Author         = {Gleim, Rüdiger and Mehler, Alexander and Eikmeyer,
                       Hans-Jürgen},
      Title          = {Representing and Maintaining Large Corpora},
      BookTitle      = {Proceedings of the Corpus Linguistics 2007 Conference,
                       Birmingham (UK)},
      pdf            = {https://www.texttechnologylab.org/wp-content/uploads/2015/08/gleim_mehler_eikmeyer_2007_a.pdf},
      year           = 2007
    }
  • P. Geibel, O. Abramov, A. Mehler, H. Gust, and K. Kühnberger, “Classification of Documents Based on the Structure of Their DOM Trees,” in Proceedings of ICONIP 2007 (14th International Conference on Neural Information Processing), 2007, p. 779–788.
    [Abstract] [BibTeX]

    In this paper, we discuss kernels that can be applied                    for the classification of XML documents based on their                    DOM trees. DOM trees are ordered trees in which every                    node might be labeled by a vector of attributes                    including its XML tag and the textual content. We                    describe five new kernels suitable for such structures:                    a kernel based on predefined structural features, a                    tree kernel derived from the well-known parse tree                    kernel, the set tree kernel that allows permutations of                    children, the string tree kernel being an extension of                    the so-called partial tree kernel, and the soft tree                    kernel as a more efficient alternative. We evaluate the                    kernels experimentally on a corpus containing the DOM                    trees of newspaper articles and on the well-known                    SUSANNE corpus.
    @InProceedings{Geibel:Pustylnikov:Mehler:Gust:Kuehnberger:2007,
      Author         = {Geibel, Peter and Abramov, Olga and Mehler, Alexander
                       and Gust, Helmar and Kühnberger, Kai-Uwe},
      Title          = {Classification of Documents Based on the Structure of
                       Their DOM Trees},
      BookTitle      = {Proceedings of ICONIP 2007 (14th International
                       Conference on Neural Information Processing)},
      Series         = {Lecture Notes in Computer Science 4985},
      Pages          = {779–788},
      Publisher      = {Springer},
      abstract       = {In this paper, we discuss kernels that can be applied
                       for the classification of XML documents based on their
                       DOM trees. DOM trees are ordered trees in which every
                       node might be labeled by a vector of attributes
                       including its XML tag and the textual content. We
                       describe five new kernels suitable for such structures:
                       a kernel based on predefined structural features, a
                       tree kernel derived from the well-known parse tree
                       kernel, the set tree kernel that allows permutations of
                       children, the string tree kernel being an extension of
                       the so-called partial tree kernel, and the soft tree
                       kernel as a more efficient alternative. We evaluate the
                       kernels experimentally on a corpus containing the DOM
                       trees of newspaper articles and on the well-known
                       SUSANNE corpus.},
      website        = {http://www.springerlink.com/content/x414002113425742/},
      year           = 2007
    }
  • [PDF] B. Jussen, A. Mehler, and A. Ernst, “A Corpus Management System for Historical Semantics,” Sprache und Datenverarbeitung. International Journal for Language Data Processing, vol. 31, iss. 1-2, pp. 81-89, 2007.
    [Abstract] [BibTeX]

    Der Beitrag beschreibt ein Korpusmanagementsystem für                    die historische Semantik. Die Grundlage hierfür bildet                    ein Bedeutungsbegriff, der – methodologisch                    gesprochen – auf der Analyse diachroner Korpora                    beruht. Das Ziel der Analyse dieser Korpora besteht                    darin, Bedeutungswandel als eine Bezugsgröße für                    den Wandel sozialer Systeme zu untersuchen. Das                    vorgestellte Korpusmanagementsystem unterstützt diese                    Art der korpusbasierten historischen Semantik.
    @Article{Jussen:Mehler:Ernst:2007,
      Author         = {Jussen, Bernhard and Mehler, Alexander and Ernst,
                       Alexandra},
      Title          = {A Corpus Management System for Historical Semantics},
      Journal        = {Sprache und Datenverarbeitung. International Journal
                       for Language Data Processing},
      Volume         = {31},
      Number         = {1-2},
      Pages          = {81-89},
      abstract       = {Der Beitrag beschreibt ein Korpusmanagementsystem für
                       die historische Semantik. Die Grundlage hierfür bildet
                       ein Bedeutungsbegriff, der – methodologisch
                       gesprochen – auf der Analyse diachroner Korpora
                       beruht. Das Ziel der Analyse dieser Korpora besteht
                       darin, Bedeutungswandel als eine Bezugsgrö{\ss}e für
                       den Wandel sozialer Systeme zu untersuchen. Das
                       vorgestellte Korpusmanagementsystem unterstützt diese
                       Art der korpusbasierten historischen Semantik.},
      pdf            = {https://www.texttechnologylab.org/wp-content/uploads/2015/08/jussen_mehler_ernst_2007.pdf},
      year           = 2007
    }
  • A. Mehler and R. Köhler, “Machine Learning in a Semiotic Perspective,” in Aspects of Automatic Text Analysis, A. Mehler and R. Köhler, Eds., Berlin/New York: Springer, 2007, pp. 1-29.
    [Abstract] [BibTeX]

    Gegenstand des folgenden Aufsatzes ist der konnotative                    Aspekt der Bedeutungen von Texten. Den Ausgangspunkt                    der Überlegungen zur Konnotation des Textes bildet                    die Auffassung, wonach Wort- und                    Textbedeutungskonstitution Ergebnis eines                    zirkulären Prozesses sind, der für die Emergenz                    einer Hierarchie ineinander geschachtelter                    Spracheinheiten verantwortlich zeichnet. Der Prozeß                    der Zeichenartikulation erfolgt entlang dieser Ebenen                    und erzeugt durch Verbindung von (konnotativer)                    Inhalts- und Ausdrucksseite auf Textebene das                    Textzeichen. Im Gegensatz zu einer strikten                    Interpretation des Fregeschen                    Kompositionalitätsprinzips, derzufolge die                    Bedeutungen sprachlicher Einheiten als fixierte,                    kontextfreie Größen vorauszusetzen sind, behandelt                    der vorliegende Ansatz bereits die lexikalische                    Bedeutung als Größe, die in Abhängigkeit von                    ihrem Kontext variieren kann. Aus semiotischer                    Perspektive ist es vor allem der Gestaltcharakter,                    welcher die konnotative Textbedeutung einer Anwendung                    des FregePrinzips entzieht. Anders ausgedrückt: Die                    konnotative Bedeutung eines Textes ist keineswegs in                    eine Struktur 'atomarer' Repräsentationen                    zerlegbar. Die hierarchische Organisation von Texten                    erweist sich insofern als komplex, als ihre Bedeutungen                    aus einem zirkulären Prozeß resultieren, der                    bestätigend und/oder verändernd auf die                    Bedeutungen der Textkonstituenten einwirkt. Diese                    Zirkularität bedingt, daß Texte nicht nur als                    Orte der Manifestation von Wortbedeutungsstrukturen                    anzusehen sind, sondern zugleich als Ausgangspunkte                    für die Modifikation und Emergenz solcher Strukturen                    dienen. Im folgenden wird unter Rekurs auf den                    Kopenhagener Strukturalismus ein Modell der                    konnotativen Bedeutung von Texten entwickelt, das sich                    unter anderem an dem glossematischen Begriff der                    Konstante orientiert. Die Formalisierung des Modells                    erfolgt mit Hilfe des Konzeptes der unscharfen Menge.                    Zu diesem Zweck werden die unscharfen                    Verwendungsregularitäten von Wörtern auf der Basis                    eines zweistufigen Verfahrens analysiert, welches die                    syntagmatischen und paradigmatischen Regularitäten                    des Wortgebrauches berücksichtigt. Die Rolle der                    Satzebene innerhalb des Prozesses der konnotativen                    Textbedeutungskonstitution wird angedeutet.                    Abschließend erfolgt eine Exemplifizierung des                    Algorithmus anhand der automatischen Analyse eines                    Textcorpus.
    @InCollection{Mehler:Koehler:2007:b,
      Author         = {Mehler, Alexander and Köhler, Reinhard},
      Title          = {Machine Learning in a Semiotic Perspective},
      BookTitle      = {Aspects of Automatic Text Analysis},
      Publisher      = {Springer},
      Editor         = {Mehler, Alexander and Köhler, Reinhard},
      Series         = {Studies in Fuzziness and Soft Computing},
      Pages          = {1-29},
      Address        = {Berlin/New York},
      abstract       = {Gegenstand des folgenden Aufsatzes ist der konnotative
                       Aspekt der Bedeutungen von Texten. Den Ausgangspunkt
                       der {\"U}berlegungen zur Konnotation des Textes bildet
                       die Auffassung, wonach Wort- und
                       Textbedeutungskonstitution Ergebnis eines
                       zirkul{\"a}ren Prozesses sind, der für die Emergenz
                       einer Hierarchie ineinander geschachtelter
                       Spracheinheiten verantwortlich zeichnet. Der Proze{\ss}
                       der Zeichenartikulation erfolgt entlang dieser Ebenen
                       und erzeugt durch Verbindung von (konnotativer)
                       Inhalts- und Ausdrucksseite auf Textebene das
                       Textzeichen. Im Gegensatz zu einer strikten
                       Interpretation des Fregeschen
                       Kompositionalit{\"a}tsprinzips, derzufolge die
                       Bedeutungen sprachlicher Einheiten als fixierte,
                       kontextfreie Grö{\ss}en vorauszusetzen sind, behandelt
                       der vorliegende Ansatz bereits die lexikalische
                       Bedeutung als Grö{\ss}e, die in Abh{\"a}ngigkeit von
                       ihrem Kontext variieren kann. Aus semiotischer
                       Perspektive ist es vor allem der Gestaltcharakter,
                       welcher die konnotative Textbedeutung einer Anwendung
                       des FregePrinzips entzieht. Anders ausgedrückt: Die
                       konnotative Bedeutung eines Textes ist keineswegs in
                       eine Struktur 'atomarer' Repr{\"a}sentationen
                       zerlegbar. Die hierarchische Organisation von Texten
                       erweist sich insofern als komplex, als ihre Bedeutungen
                       aus einem zirkul{\"a}ren Proze{\ss} resultieren, der
                       best{\"a}tigend und/oder ver{\"a}ndernd auf die
                       Bedeutungen der Textkonstituenten einwirkt. Diese
                       Zirkularit{\"a}t bedingt, da{\ss} Texte nicht nur als
                       Orte der Manifestation von Wortbedeutungsstrukturen
                       anzusehen sind, sondern zugleich als Ausgangspunkte
                       für die Modifikation und Emergenz solcher Strukturen
                       dienen. Im folgenden wird unter Rekurs auf den
                       Kopenhagener Strukturalismus ein Modell der
                       konnotativen Bedeutung von Texten entwickelt, das sich
                       unter anderem an dem glossematischen Begriff der
                       Konstante orientiert. Die Formalisierung des Modells
                       erfolgt mit Hilfe des Konzeptes der unscharfen Menge.
                       Zu diesem Zweck werden die unscharfen
                       Verwendungsregularit{\"a}ten von Wörtern auf der Basis
                       eines zweistufigen Verfahrens analysiert, welches die
                       syntagmatischen und paradigmatischen Regularit{\"a}ten
                       des Wortgebrauches berücksichtigt. Die Rolle der
                       Satzebene innerhalb des Prozesses der konnotativen
                       Textbedeutungskonstitution wird angedeutet.
                       Abschlie{\ss}end erfolgt eine Exemplifizierung des
                       Algorithmus anhand der automatischen Analyse eines
                       Textcorpus.},
      website        = {http://rd.springer.com/chapter/10.1007/978-3-540-37522-7_1},
      year           = 2007
    }
  • [PDF] A. Mehler, U. Waltinger, and A. Wegner, “A Formal Text Representation Model Based on Lexical Chaining,” in Proceedings of the KI 2007 Workshop on Learning from Non-Vectorial Data (LNVD 2007) September 10, Osnabrück, Osnabrück, 2007, pp. 17-26.
    [Abstract] [BibTeX]

    This paper presents a formal text representation model                    as an alternative to the vector space model. It                    combines a tree-like model with graph-inducing lexical                    relations. The paper aims at formalizing two yet                    unrelated approaches, i.e. lexical chaining [3] and                    quantitative structure analysis [9], in order to                    combine content and structure modeling.
    @InProceedings{Mehler:Waltinger:Wegner:2007:a,
      Author         = {Mehler, Alexander and Waltinger, Ulli and Wegner,
                       Armin},
      Title          = {A Formal Text Representation Model Based on Lexical
                       Chaining},
      BookTitle      = {Proceedings of the KI 2007 Workshop on Learning from
                       Non-Vectorial Data (LNVD 2007) September 10, Osnabrück},
      Editor         = {Geibel, Peter and Jain, Brijnesh J.},
      Pages          = {17-26},
      Address        = {Osnabrück},
      Publisher      = {Universit{\"a}t Osnabrück},
      abstract       = {This paper presents a formal text representation model
                       as an alternative to the vector space model. It
                       combines a tree-like model with graph-inducing lexical
                       relations. The paper aims at formalizing two yet
                       unrelated approaches, i.e. lexical chaining [3] and
                       quantitative structure analysis [9], in order to
                       combine content and structure modeling.},
      pdf            = {http://www.ulliwaltinger.de/pdf/LNVD07MehlerWaltingerWegner.pdf},
      year           = 2007
    }
  • [PDF] A. Mehler, P. Geibel, and O. Abramov, “Structural Classifiers of Text Types: Towards a Novel Model of Text Representation,” Journal for Language Technology and Computational Linguistics (JLCL), vol. 22, iss. 2, pp. 51-66, 2007.
    [Abstract] [BibTeX]

    Texts can be distinguished in terms of their content,                    function, structure or layout (Brinker, 1992; Bateman                    et al., 2001; Joachims, 2002; Power et al., 2003).                    These reference points do not open necessarily                    orthogonal perspectives on text classification. As part                    of explorative data analysis, text classification aims                    at automatically dividing sets of textual objects into                    classes of maximum internal homogeneity and external                    heterogeneity. This paper deals with classifying texts                    into text types whose instances serve more or less                    homogeneous functions. Other than mainstream                    approaches, which rely on the vector space model                    (Sebastiani, 2002) or some of its descendants                    (Baeza-Yates and Ribeiro-Neto, 1999) and, thus, on                    content-related lexical features, we solely refer to                    structural differentiae. That is, we explore patterns                    of text structure as determinants of class membership.                    Our starting point are tree-like text representations                    which induce feature vectors and tree kernels. These                    kernels are utilized in supervised learning based on                    cross-validation as a method of model selection (Hastie                    et al., 2001) by example of a corpus of press                    communication. For a subset of categories we show that                    classification can be performed very well by structural                    differentia only.
    @Article{Mehler:Geibel:Pustylnikov:2007,
      Author         = {Mehler, Alexander and Geibel, Peter and Abramov, Olga},
      Title          = {Structural Classifiers of Text Types: Towards a Novel
                       Model of Text Representation},
      Journal        = {Journal for Language Technology and Computational
                       Linguistics (JLCL)},
      Volume         = {22},
      Number         = {2},
      Pages          = {51-66},
      abstract       = {Texts can be distinguished in terms of their content,
                       function, structure or layout (Brinker, 1992; Bateman
                       et al., 2001; Joachims, 2002; Power et al., 2003).
                       These reference points do not open necessarily
                       orthogonal perspectives on text classification. As part
                       of explorative data analysis, text classification aims
                       at automatically dividing sets of textual objects into
                       classes of maximum internal homogeneity and external
                       heterogeneity. This paper deals with classifying texts
                       into text types whose instances serve more or less
                       homogeneous functions. Other than mainstream
                       approaches, which rely on the vector space model
                       (Sebastiani, 2002) or some of its descendants
                       (Baeza-Yates and Ribeiro-Neto, 1999) and, thus, on
                       content-related lexical features, we solely refer to
                       structural differentiae. That is, we explore patterns
                       of text structure as determinants of class membership.
                       Our starting point are tree-like text representations
                       which induce feature vectors and tree kernels. These
                       kernels are utilized in supervised learning based on
                       cross-validation as a method of model selection (Hastie
                       et al., 2001) by example of a corpus of press
                       communication. For a subset of categories we show that
                       classification can be performed very well by structural
                       differentia only.},
      pdf            = {https://www.texttechnologylab.org/wp-content/uploads/2015/08/mehler_geibel_pustylnikov_2007.pdf},
      website        = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.154.604},
      year           = 2007
    }
  • [PDF] O. Abramov and A. Mehler, “Structural Differentiae of Text Types. A Quantitative Model,” in Proceedings of the 31st Annual Conference of the German Classification Society on Data Analysis, Machine Learning, and Applications (GfKl), 2007, p. 655–662.
    [BibTeX]

    @InProceedings{Abramov:Mehler:2007:b,
      Author         = {Abramov, Olga and Mehler, Alexander},
      Title          = {Structural Differentiae of Text Types. A Quantitative
                       Model},
      BookTitle      = {Proceedings of the 31st Annual Conference of the
                       German Classification Society on Data Analysis, Machine
                       Learning, and Applications (GfKl)},
      Pages          = {655–662},
      pdf            = {http://wwwhomes.uni-bielefeld.de/opustylnikov/pustylnikov/pdfs/gfkl.pdf},
      website        = {http://www.springerprofessional.de/077---structural-differentiae-of-text-types--a-quantitative-model/1957362.html},
      year           = 2007
    }
  • A. Mehler and R. Köhler, Aspects of Automatic Text Analysis: Festschrift in Honor of Burghard Rieger, A. Mehler and R. Köhler, Eds., Berlin/New York: Springer, 2007.
    [BibTeX]

    @Book{Mehler:Koehler:2007:a,
      Author         = {Mehler, Alexander and Köhler, Reinhard},
      Editor         = {Mehler, Alexander and Köhler, Reinhard},
      Title          = {Aspects of Automatic Text Analysis: Festschrift in
                       Honor of Burghard Rieger},
      Publisher      = {Springer},
      Series         = {Studies in Fuzziness and Soft Computing},
      Address        = {Berlin/New York},
      image          = {https://www.texttechnologylab.org/wp-content/uploads/2015/09/AspectsOfAutomaticTextAnalysis.jpg},
      pagetotal      = {464},
      review         = {http://www.degruyter.com/view/j/zrs.2011.3.issue-2/zrs.2011.050/zrs.2011.050.xml},
      review2        = {http://irsg.bcs.org/informer/Informer27.pdf},
      website        = {http://www.springer.com/de/book/9783540375203},
      year           = 2007
    }
  • [PDF] A. Mehler and A. Storrer, “What are Ontologies Good For? Evaluating Terminological Ontologies in the Framework of Text Graph Classification,” in Proceedings of OTT ’06 – Ontologies in Text Technology: Approaches to Extract Semantic Knowledge from Structured Information, Osnabrück, 2007, pp. 11-18.
    [BibTeX]

    @InProceedings{Mehler:Storrer:2007,
      Author         = {Mehler, Alexander and Storrer, Angelika},
      Title          = {What are Ontologies Good For? Evaluating
                       Terminological Ontologies in the Framework of Text
                       Graph Classification},
      BookTitle      = {Proceedings of OTT '06 – Ontologies in Text
                       Technology: Approaches to Extract Semantic Knowledge
                       from Structured Information},
      Editor         = {Mönnich, Uwe and Kühnberger, Kai-Uwe},
      Series         = {Publications of the Institute of Cognitive Science
                       (PICS)},
      Pages          = {11-18},
      Address        = {Osnabrück},
      pdf            = {http://cogsci.uni-osnabrueck.de/~ott06/ott06-abstracts/Mehler_Storrer_abstract.pdf},
      website        = {http://citeseer.uark.edu:8080/citeseerx/viewdoc/summary?doi=10.1.1.91.2979},
      year           = 2007
    }
  • [PDF] M. Stührenberg, D. Goecke, N. Diewald, A. Mehler, and I. Cramer, “Web-based Annotation of Anaphoric Relations and Lexical Chains,” in Proceedings of the Linguistic Annotation Workshop, ACL 2007, 2007, p. 140–147.
    [BibTeX]

    @InProceedings{Stuehrenberg:Goecke:Diewald:Mehler:Cramer:2007:a,
      Author         = {Stührenberg, Maik and Goecke, Daniela and Diewald,
                       Nils and Mehler, Alexander and Cramer, Irene},
      Title          = {Web-based Annotation of Anaphoric Relations and
                       Lexical Chains},
      BookTitle      = {Proceedings of the Linguistic Annotation Workshop, ACL
                       2007},
      Pages          = {140–147},
      pdf            = {http://www.aclweb.org/anthology/W07-1523},
      website        = {https://www.researchgate.net/publication/234800610_Web-based_annotation_of_anaphoric_relations_and_lexical_chains},
      year           = 2007
    }
  • [PDF] R. Ferrer i Cancho, A. Mehler, O. Abramov, and A. Díaz-Guilera, “Correlations in the organization of large-scale syntactic dependency networks,” in Proceedings of Graph-based Methods for Natural Language Processing (TextGraphs-2) at the Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-HLT 2007), Rochester, New York, 2007, pp. 65-72.
    [BibTeX]

    @InProceedings{Ferrer:i:Cancho:Mehler:Pustylnikov:Diaz-Guilera:2007:a,
      Author         = {Ferrer i Cancho, Ramon and Mehler, Alexander and
                       Abramov, Olga and Díaz-Guilera, Albert},
      Title          = {Correlations in the organization of large-scale
                       syntactic dependency networks},
      BookTitle      = {Proceedings of Graph-based Methods for Natural
                       Language Processing (TextGraphs-2) at the Annual
                       Conference of the North American Chapter of the
                       Association for Computational Linguistics (NAACL-HLT
                       2007), Rochester, New York},
      Pages          = {65-72},
      pdf            = {https://www.texttechnologylab.org/wp-content/uploads/2015/08/ferrer-i-cancho_mehler_pustylnikov_diaz-guilera_2007_a.pdf},
      year           = 2007
    }
  • [PDF] R. Gleim, A. Mehler, H. Eikmeyer, and H. Rieser, “Ein Ansatz zur Repräsentation und Verarbeitung großer Korpora multimodaler Daten,” in Data Structures for Linguistic Resources and Applications. Proceedings of the Biennial GLDV Conference 2007, 11.–13. April, Universität Tübingen, Tübingen, 2007, pp. 275-284.
    [BibTeX]

    @InProceedings{Gleim:Mehler:Eikmeyer:Rieser:2007,
      Author         = {Gleim, Rüdiger and Mehler, Alexander and Eikmeyer,
                       Hans-Jürgen and Rieser, Hannes},
      Title          = {Ein Ansatz zur Repr{\"a}sentation und Verarbeitung
                       gro{\ss}er Korpora multimodaler Daten},
      BookTitle      = {Data Structures for Linguistic Resources and
                       Applications. Proceedings of the Biennial GLDV
                       Conference 2007, 11.–13. April, Universit{\"a}t
                       Tübingen},
      Editor         = {Rehm, Georg and Witt, Andreas and Lemnitzer, Lothar},
      Pages          = {275-284},
      Address        = {Tübingen},
      Publisher      = {Narr},
      pdf            = {https://www.texttechnologylab.org/wp-content/uploads/2015/08/gleim_mehler_eikmeyer_rieser_2007.pdf},
      year           = 2007
    }
  • A. Mehler, “Aspectos Metodológicos da Semiótica Computacional,” in Computação, Cognição e Semiose, J. Queiroz, R. Gudwin, and A. Loula, Eds., Federal University of Bahia: EDUFBA, 2007, pp. 145-157.
    [BibTeX]

    @InCollection{Mehler:2004:2007,
      Author         = {Mehler, Alexander},
      Title          = {Aspectos Metodológicos da Semiótica Computacional},
      BookTitle      = {Computação, Cognição e Semiose},
      Publisher      = {EDUFBA},
      Editor         = {Queiroz, João and Gudwin, Ricardo and Loula, Angelo},
      Pages          = {145-157},
      Address        = {Federal University of Bahia},
      year           = 2007
    }
  • A. Mehler, “Compositionality in Quantitative Semantics. A Theoretical Perspective on Text Mining,” in Aspects of Automatic Text Analysis, A. Mehler and R. Köhler, Eds., Berlin/New York: Springer, 2007, pp. 139-167.
    [Abstract] [BibTeX]

    This chapter introduces a variant of the principle of                    compositionality in quantitative text semantics as an                    alternative to the bag-of-features approach. The                    variant includes effects of context-sensitive                    interpretation as well as processes of meaning                    constitution and change in the sense of usage-based                    semantics. Its starting point is a combination of                    semantic space modeling and text structure analysis.                    The principle is implemented by means of a hierarchical                    constraint satisfaction process which utilizes the                    notion of hierarchical text structure superimposed by                    graph-inducing coherence relations. The major                    contribution of the chapter is a conceptualization and                    formalization of the principle of compositionality in                    terms of semantic spaces which tackles some well known                    deficits of existing approaches. In particular this                    relates to the missing linguistic interpretability of                    statistical meaning representations. 
    @InCollection{Mehler:2007:b,
      Author         = {Mehler, Alexander},
      Title          = {Compositionality in Quantitative Semantics. A
                       Theoretical Perspective on Text Mining},
      BookTitle      = {Aspects of Automatic Text Analysis},
      Publisher      = {Springer},
      Editor         = {Mehler, Alexander and Köhler, Reinhard},
      Series         = {Studies in Fuzziness and Soft Computing},
      Pages          = {139-167},
      Address        = {Berlin/New York},
      abstract       = {This chapter introduces a variant of the principle of
                       compositionality in quantitative text semantics as an
                       alternative to the bag-of-features approach. The
                       variant includes effects of context-sensitive
                       interpretation as well as processes of meaning
                       constitution and change in the sense of usage-based
                       semantics. Its starting point is a combination of
                       semantic space modeling and text structure analysis.
                       The principle is implemented by means of a hierarchical
                       constraint satisfaction process which utilizes the
                       notion of hierarchical text structure superimposed by
                       graph-inducing coherence relations. The major
                       contribution of the chapter is a conceptualization and
                       formalization of the principle of compositionality in
                       terms of semantic spaces which tackles some well known
                       deficits of existing approaches. In particular this
                       relates to the missing linguistic interpretability of
                       statistical meaning representations. },
      website        = {http://www.springerlink.com/content/x214w527g42x0116/},
      year           = 2007
    }
  • [PDF] M. Dehmer and A. Mehler, “A New Method of Measuring the Similarity for a Special Class of Directed Graphs,” Tatra Mountains Mathematical Publications, vol. 36, pp. 39-59, 2007.
    [BibTeX]

    @Article{Dehmer:Mehler:2007:a,
      Author         = {Dehmer, Matthias and Mehler, Alexander},
      Title          = {A New Method of Measuring the Similarity for a Special
                       Class of Directed Graphs},
      Journal        = {Tatra Mountains Mathematical Publications},
      Volume         = {36},
      Pages          = {39-59},
      pdf            = {https://www.texttechnologylab.org/wp-content/uploads/2015/08/dehmer_mehler_2004_a.pdf},
      website        = {https://www.researchgate.net/publication/228905939_A_new_method_of_measuring_similarity_for_a_special_class_of_directed_graphs},
      year           = 2007
    }
  • P. Geibel, U. Krumnack, O. Abramov, A. Mehler, H. Gust, and K. Kühnberger, “Structure-Sensitive Learning of Text Types,” in Proceedings of AI 2007: Advances in Artificial Intelligence, 20th Australian Joint Conference on Artificial Intelligence, Gold Coast, Australia, December 2-6, 2007, 2007, pp. 642-646.
    [Abstract] [BibTeX]

    In this paper, we discuss the structure based                    classification of documents based on their logical                    document structure, i.e., their DOM trees. We describe                    a method using predefined structural features and also                    four tree kernels suitable for such structures. We                    evaluate the methods experimentally on a corpus                    containing the DOM trees of newspaper articles, and on                    the well-known SUSANNE corpus. We will demonstrate                    that, for the two corpora, many text types can be                    learned based on structural features only.
    @InProceedings{Geibel:Krumnack:Pustylnikov:Mehler:Gust:Kuehnberger:2007,
      Author         = {Geibel, Peter and Krumnack, Ulf and Abramov, Olga and
                       Mehler, Alexander and Gust, Helmar and Kühnberger,
                       Kai-Uwe},
      Title          = {Structure-Sensitive Learning of Text Types},
      BookTitle      = {Proceedings of AI 2007: Advances in Artificial
                       Intelligence, 20th Australian Joint Conference on
                       Artificial Intelligence, Gold Coast, Australia,
                       December 2-6, 2007},
      Editor         = {Orgun, Mehmet A. and Thornton, John},
      Volume         = {4830},
      Series         = {Lecture Notes in Computer Science},
      Pages          = {642-646},
      Publisher      = {Springer},
      abstract       = {In this paper, we discuss the structure based
                       classification of documents based on their logical
                       document structure, i.e., their DOM trees. We describe
                       a method using predefined structural features and also
                       four tree kernels suitable for such structures. We
                       evaluate the methods experimentally on a corpus
                       containing the DOM trees of newspaper articles, and on
                       the well-known SUSANNE corpus. We will demonstrate
                       that, for the two corpora, many text types can be
                       learned based on structural features only.},
      website        = {http://www.springerlink.com/content/w574377ww1h6m212/},
      year           = 2007
    }

2006 (11)

  • A. Mehler, R. Gleim, and M. Dehmer, “Towards Structure-Sensitive Hypertext Categorization,” in Proceedings of the 29th Annual Conference of the German Classification Society, March 9-11, 2005, Universität Magdeburg, Berlin/New York, 2006, pp. 406-413.
    [Abstract] [BibTeX]

    Hypertext categorization is the task of automatically                    assigning category labels to hypertext units.                    Comparable to text categorization it stays in the area                    of function learning based on the bag-of-features                    approach. This scenario faces the problem of a                    many-to-many relation between websites and their hidden                    logical document structure. The paper argues that this                    relation is a prevalent characteristic which interferes                    any effort of applying the classical apparatus of                    categorization to web genres. This is confirmed by a                    threefold experiment in hypertext categorization. In                    order to outline a solution to this problem, the paper                    sketches an alternative method of unsupervised learning                    which aims at bridging the gap between statistical and                    structural pattern recognition (Bunke et al. 2001) in                    the area of web mining.
    @InProceedings{Mehler:Gleim:Dehmer:2006,
      Author         = {Mehler, Alexander and Gleim, Rüdiger and Dehmer,
                       Matthias},
      Title          = {Towards Structure-Sensitive Hypertext Categorization},
      BookTitle      = {Proceedings of the 29th Annual Conference of the
                       German Classification Society, March 9-11, 2005,
                       Universit{\"a}t Magdeburg},
      Editor         = {Spiliopoulou, Myra and Kruse, Rudolf and Borgelt,
                       Christian and Nürnberger, Andreas and Gaul, Wolfgang},
      Pages          = {406-413},
      Address        = {Berlin/New York},
      Publisher      = {Springer},
      abstract       = {Hypertext categorization is the task of automatically
                       assigning category labels to hypertext units.
                       Comparable to text categorization it stays in the area
                       of function learning based on the bag-of-features
                       approach. This scenario faces the problem of a
                       many-to-many relation between websites and their hidden
                       logical document structure. The paper argues that this
                       relation is a prevalent characteristic which interferes
                       any effort of applying the classical apparatus of
                       categorization to web genres. This is confirmed by a
                       threefold experiment in hypertext categorization. In
                       order to outline a solution to this problem, the paper
                       sketches an alternative method of unsupervised learning
                       which aims at bridging the gap between statistical and
                       structural pattern recognition (Bunke et al. 2001) in
                       the area of web mining.},
      website        = {http://www.springerlink.com/content/l7665tm3u241317l/},
      year           = 2006
    }
  • A. Mehler, “A Network Perspective on Intertextuality,” in Exact Methods in the Study of Language and Text, P. Grzybek and R. Köhler, Eds., Berlin/New York: De Gruyter, 2006, pp. 437-446.
    [BibTeX]

    @InCollection{Mehler:2006:d,
      Author         = {Mehler, Alexander},
      Title          = {A Network Perspective on Intertextuality},
      BookTitle      = {Exact Methods in the Study of Language and Text},
      Publisher      = {De Gruyter},
      Editor         = {Grzybek, Peter and Köhler, Reinhard},
      Series         = {Quantitative Linguistics},
      Pages          = {437-446},
      Address        = {Berlin/New York},
      year           = 2006
    }
  • [PDF] M. Dehmer, F. Emmert-Streib, A. Mehler, and J. Kilian, “Measuring the Structural Similarity of Web-based Documents: A Novel Approach,” International Journal of Computational Intelligence, vol. 3, iss. 1, pp. 1-7, 2006.
    [Abstract] [BibTeX]

    Most known methods for measuring the structural                    similarity of document structures are based on, e.g.,                    tag measures, path metrics and tree measures in terms                    of their DOM-Trees. Other methods measures the                    similarity in the framework of the well known vector                    space model. In contrast to these we present a new                    approach to measuring the structural similarity of                    web-based documents represented by so called                    generalized trees which are more general than DOM-Trees                    which represent only directed rooted trees. We will                    design a new similarity measure for graphs representing                    web-based hypertext structures. Our similarity measure                    is mainly based on a novel representation of a graph as                    strings of linear integers, whose components represent                    structural properties of the graph. The similarity of                    two graphs is then defined as the optimal alignment of                    the underlying property strings. In this paper we apply                    the well known technique of sequence alignments to                    solve a novel and challenging problem: Measuring the                    structural similarity of generalized trees. More                    precisely, we first transform our graphs considered as                    high dimensional objects in linear structures. Then we                    derive similarity values from the alignments of the                    property strings in order to measure the structural                    similarity of generalized trees. Hence, we transform a                    graph similarity problem to a string similarity                    problem. We demonstrate that our similarity measure                    captures important structural information by applying                    it to two different test sets consisting of graphs                    representing web-based documents.
    @Article{Dehmer:Emmert:Streib:Mehler:Kilian:2006,
      Author         = {Dehmer, Matthias and Emmert-Streib, Frank and Mehler,
                       Alexander and Kilian, Jürgen},
      Title          = {Measuring the Structural Similarity of Web-based
                       Documents: A Novel Approach},
      Journal        = {International Journal of Computational Intelligence},
      Volume         = {3},
      Number         = {1},
      Pages          = {1-7},
      abstract       = {Most known methods for measuring the structural
                       similarity of document structures are based on, e.g.,
                       tag measures, path metrics and tree measures in terms
                       of their DOM-Trees. Other methods measures the
                       similarity in the framework of the well known vector
                       space model. In contrast to these we present a new
                       approach to measuring the structural similarity of
                       web-based documents represented by so called
                       generalized trees which are more general than DOM-Trees
                       which represent only directed rooted trees. We will
                       design a new similarity measure for graphs representing
                       web-based hypertext structures. Our similarity measure
                       is mainly based on a novel representation of a graph as
                       strings of linear integers, whose components represent
                       structural properties of the graph. The similarity of
                       two graphs is then defined as the optimal alignment of
                       the underlying property strings. In this paper we apply
                       the well known technique of sequence alignments to
                       solve a novel and challenging problem: Measuring the
                       structural similarity of generalized trees. More
                       precisely, we first transform our graphs considered as
                       high dimensional objects in linear structures. Then we
                       derive similarity values from the alignments of the
                       property strings in order to measure the structural
                       similarity of generalized trees. Hence, we transform a
                       graph similarity problem to a string similarity
                       problem. We demonstrate that our similarity measure
                       captures important structural information by applying
                       it to two different test sets consisting of graphs
                       representing web-based documents.},
      pdf            = {http://waset.org/publications/15928/measuring-the-structural-similarity-of-web-based-documents-a-novel-approach},
      website        = {http://connection.ebscohost.com/c/articles/24839145/measuring-structural-similarity-web-based-documents-novel-approach},
      year           = 2006
    }
  • A. Mehler and R. Gleim, “The Net for the Graphs – Towards Webgenre Representation for Corpus Linguistic Studies,” in WaCky! Working Papers on the Web as Corpus, M. Baroni and S. Bernardini, Eds., Bologna: Gedit, 2006, pp. 191-224.
    [BibTeX]

    @InCollection{Mehler:Gleim:2006:b,
      Author         = {Mehler, Alexander and Gleim, Rüdiger},
      Title          = {The Net for the Graphs – Towards Webgenre
                       Representation for Corpus Linguistic Studies},
      BookTitle      = {WaCky! Working Papers on the Web as Corpus},
      Publisher      = {Gedit},
      Editor         = {Baroni, Marco and Bernardini, Silvia},
      Pages          = {191-224},
      Address        = {Bologna},
      website        = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.510.4125},
      year           = 2006
    }
  • [PDF] R. Gleim, A. Mehler, and M. Dehmer, “Web Corpus Mining by Instance of Wikipedia,” in Proceedings of the EACL 2006 Workshop on Web as Corpus, April 3-7, 2006, Trento, Italy, 2006, pp. 67-74.
    [Abstract] [BibTeX]

    Workshop organizer: Adam Kilgarriff
    @InProceedings{Gleim:Mehler:Dehmer:2006:a,
      Author         = {Gleim, Rüdiger and Mehler, Alexander and Dehmer,
                       Matthias},
      Title          = {Web Corpus Mining by Instance of Wikipedia},
      BookTitle      = {Proceedings of the EACL 2006 Workshop on Web as
                       Corpus, April 3-7, 2006, Trento, Italy},
      Editor         = {Kilgariff, Adam and Baroni, Marco},
      Pages          = {67-74},
      abstract       = {Workshop organizer: Adam Kilgarriff},
      pdf            = {http://www.aclweb.org/anthology/W06-1710},
      website        = {http://pub.uni-bielefeld.de/publication/1773538},
      year           = 2006
    }
  • [PDF] A. Mehler, “In Search of a Bridge Between Network Analysis in Computational Linguistics and Computational Biology-A Conceptual Note.,” in BIOCOMP, 2006, pp. 496-502.
    [BibTeX]

    @InProceedings{mehler:2006,
      Author         = {Mehler, Alexander},
      Title          = {In Search of a Bridge Between Network Analysis in
                       Computational Linguistics and Computational Biology-A
                       Conceptual Note.},
      BookTitle      = {BIOCOMP},
      Pages          = {496--502},
      pdf            = {https://pdfs.semanticscholar.org/81aa/0b840ed413089d69908cff60628a92609ccd.pdf},
      year           = 2006
    }
  • [PDF] A. Mehler, “Text Linkage in the Wiki Medium – A Comparative Study,” in Proceedings of the EACL Workshop on New Text – Wikis and blogs and other dynamic text sources, April 3-7, 2006, Trento, Italy, 2006, pp. 1-8.
    [Abstract] [BibTeX]

    Workshop organizer: Jussi Karlgren
    @InProceedings{Mehler:2006:c,
      Author         = {Mehler, Alexander},
      Title          = {Text Linkage in the Wiki Medium – A Comparative
                       Study},
      BookTitle      = {Proceedings of the EACL Workshop on New Text – Wikis
                       and blogs and other dynamic text sources, April 3-7,
                       2006, Trento, Italy},
      Editor         = {Karlgren, Jussi},
      Pages          = {1-8},
      abstract       = {Workshop organizer: Jussi Karlgren},
      pdf            = {http://www.aclweb.org/anthology/W06-2801},
      website        = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.165.6390},
      year           = 2006
    }
  • A. Mehler, “Stratified Constraint Satisfaction Networks in Synergetic Multi-Agent Simulations of Language Evolution,” in Artificial Cognition Systems, A. Loula, R. Gudwin, and J. Queiroz, Eds., Hershey: Idea Group Inc., 2006, pp. 140-174.
    [Abstract] [BibTeX]

    Ehedem = Mehler:2005:e
    @InCollection{Mehler:2006:e,
      Author         = {Mehler, Alexander},
      Title          = {Stratified Constraint Satisfaction Networks in
                       Synergetic Multi-Agent Simulations of Language
                       Evolution},
      BookTitle      = {Artificial Cognition Systems},
      Publisher      = {Idea Group Inc.},
      Editor         = {Loula, Angelo and Gudwin, Ricardo and Queiroz, João},
      Pages          = {140-174},
      Address        = {Hershey},
      abstract       = {Ehedem = Mehler:2005:e},
      year           = 2006
    }
  • [PDF] A. Mehler and L. Sichelschmidt, “Reconceptualizing Latent Semantic Analysis in Terms of Complex Network Theory. A Corpus-Linguistic Approach,” in 2nd International Conference of the German Cognitive Linguistics Association – Theme Session: Cognitive-Linguistic Approaches: What can we gain by computational treatment of data? 5.-7. Oktober 2006, Ludwig-Maximilians-Universität München, 2006, pp. 23-26.
    [BibTeX]

    @InProceedings{Mehler:Sichelschmidt:2006,
      Author         = {Mehler, Alexander and Sichelschmidt, Lorenz},
      Title          = {Reconceptualizing Latent Semantic Analysis in Terms of
                       Complex Network Theory. A Corpus-Linguistic Approach},
      BookTitle      = {2nd International Conference of the German Cognitive
                       Linguistics Association – Theme Session:
                       Cognitive-Linguistic Approaches: What can we gain by
                       computational treatment of data? 5.-7. Oktober 2006,
                       Ludwig-Maximilians-Universit{\"a}t München},
      Pages          = {23-26},
      editors        = {Alonge, Antonietta and Lönneker-Rodman, Birte},
      pdf            = {http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.87.5069&rep=rep1&type=pdf},
      year           = 2006
    }
  • A. Mehler, M. Dehmer, and R. Gleim, “Towards Logical Hypertext Structure – A Graph-Theoretic Perspective,” in Proceedings of the Fourth International Workshop on Innovative Internet Computing Systems (I2CS ’04), Berlin/New York, 2006, pp. 136-150.
    [Abstract] [BibTeX]

    Facing the retrieval problem according to the                    overwhelming set of documents online the adaptation of                    text categorization to web units has recently been                    pushed. The aim is to utilize categories of web sites                    and pages as an additional retrieval criterion. In this                    context, the bag-of-words model has been utilized just                    as HTML tags and link structures. In spite of promising                    results this adaptation stays in the framework of IR                    specific models since it neglects the content-based                    structuring inherent to hypertext units. This paper                    approaches hypertext modelling from the perspective of                    graph-theory. It presents an XML-based format for                    representing websites as hypergraphs. These hypergraphs                    are used to shed light on the relation of hypertext                    structure types and their web-based instances. We place                    emphasis on two characteristics of this relation: In                    terms of realizational ambiguity we speak of functional                    equivalents to the manifestation of the same structure                    type. In terms of polymorphism we speak of a single web                    unit which manifests different structure types. It is                    shown that polymorphism is a prevalent characteristic                    of web-based units. This is done by means of a                    categorization experiment which analyses a corpus of                    hypergraphs representing the structure and content of                    pages of conference websites. On this background we                    plead for a revision of text representation models by                    means of hypergraphs which are sensitive to the                    manifold structuring of web documents.
    @InProceedings{Mehler:Dehmer:Gleim:2006,
      Author         = {Mehler, Alexander and Dehmer, Matthias and Gleim,
                       Rüdiger},
      Title          = {Towards Logical Hypertext Structure - A
                       Graph-Theoretic Perspective},
      BookTitle      = {Proceedings of the Fourth International Workshop on
                       Innovative Internet Computing Systems (I2CS '04)},
      Editor         = {Böhme, Thomas and Heyer, Gerhard},
      Series         = {Lecture Notes in Computer Science 3473},
      Pages          = {136-150},
      Address        = {Berlin/New York},
      Publisher      = {Springer},
      abstract       = {Facing the retrieval problem according to the
                       overwhelming set of documents online the adaptation of
                       text categorization to web units has recently been
                       pushed. The aim is to utilize categories of web sites
                       and pages as an additional retrieval criterion. In this
                       context, the bag-of-words model has been utilized just
                       as HTML tags and link structures. In spite of promising
                       results this adaptation stays in the framework of IR
                       specific models since it neglects the content-based
                       structuring inherent to hypertext units. This paper
                       approaches hypertext modelling from the perspective of
                       graph-theory. It presents an XML-based format for
                       representing websites as hypergraphs. These hypergraphs
                       are used to shed light on the relation of hypertext
                       structure types and their web-based instances. We place
                       emphasis on two characteristics of this relation: In
                       terms of realizational ambiguity we speak of functional
                       equivalents to the manifestation of the same structure
                       type. In terms of polymorphism we speak of a single web
                       unit which manifests different structure types. It is
                       shown that polymorphism is a prevalent characteristic
                       of web-based units. This is done by means of a
                       categorization experiment which analyses a corpus of
                       hypergraphs representing the structure and content of
                       pages of conference websites. On this background we
                       plead for a revision of text representation models by
                       means of hypergraphs which are sensitive to the
                       manifold structuring of web documents.},
      website        = {http://rd.springer.com/chapter/10.1007/11553762_14},
      year           = 2006
    }
  • [PDF] A. Mehler, “In Search of a Bridge between Network Analysis in Computational Linguistics and Computational Biology – A Conceptual Note,” in Proceedings of the 2006 International Conference on Bioinformatics & Computational Biology (BIOCOMP ’06), June 26, 2006, Las Vegas, USA, 2006, pp. 496-500.
    [BibTeX]

    @InProceedings{Mehler:2006:a,
      Author         = {Mehler, Alexander},
      Title          = {In Search of a Bridge between Network Analysis in
                       Computational Linguistics and Computational Biology –
                       A Conceptual Note},
      BookTitle      = {Proceedings of the 2006 International Conference on
                       Bioinformatics \& Computational Biology (BIOCOMP '06),
                       June 26, 2006, Las Vegas, USA},
      Editor         = {Arabnia, Hamid R. and Valafar, Homayoun},
      Pages          = {496-500},
      pdf            = {http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.92.9842&rep=rep1&type=pdf},
      year           = 2006
    }

2005 (10)

  • [PDF] M. Dehmer, F. Emmert-Streib, A. Mehler, J. Kilian, and M. Mühlhäuser, “Application of a similarity measure for graphs to web-based document structures,” in Proceedings of VI. International Conference on Enformatika, Systems Sciences and Engineering, Budapest, Hungary, October 2005, International Academy of Sciences: Enformatika 8 (2005), 2005, pp. 77-81.
    [Abstract] [BibTeX]

    Due to the tremendous amount of information provided                    by the World Wide Web (WWW) developing methods for                    mining the structure of web-based documents is of                    considerable interest. In this paper we present a                    similarity measure for graphs representing web-based                    hypertext structures. Our similarity measure is mainly                    based on a novel representation of a graph as linear                    integer strings, whose components represent structural                    properties of the graph. The similarity of two graphs                    is then defined as the optimal alignment of the                    underlying property strings. In this paper we apply the                    well known technique of sequence alignments for solving                    a novel and challenging problem: Measuring the                    structural similarity of generalized trees. In other                    words: We first transform our graphs considered as high                    dimensional objects in linear structures. Then we                    derive similarity values from the alignments of the                    property strings in order to measure the structural                    similarity of generalized trees. Hence, we transform a                    graph similarity problem to a string similarity problem                    for developing a efficient graph similarity measure. We                    demonstrate that our similarity measure captures                    important structural information by applying it to two                    different test sets consisting of graphs representing                    web-based document structures.
    @InProceedings{Dehmer:Emmert:Streib:Mehler:Kilian:Muehlhaeuser:2005,
      Author         = {Dehmer, Matthias and Emmert-Streib, Frank and Mehler,
                       Alexander and Kilian, Jürgen and Mühlh{\"a}user, Max},
      Title          = {Application of a similarity measure for graphs to
                       web-based document structures},
      BookTitle      = {Proceedings of VI. International Conference on
                       Enformatika, Systems Sciences and Engineering,
                       Budapest, Hungary, October 2005, International Academy
                       of Sciences: Enformatika 8 (2005)},
      Pages          = {77-81},
      abstract       = {Due to the tremendous amount of information provided
                       by the World Wide Web (WWW) developing methods for
                       mining the structure of web-based documents is of
                       considerable interest. In this paper we present a
                       similarity measure for graphs representing web-based
                       hypertext structures. Our similarity measure is mainly
                       based on a novel representation of a graph as linear
                       integer strings, whose components represent structural
                       properties of the graph. The similarity of two graphs
                       is then defined as the optimal alignment of the
                       underlying property strings. In this paper we apply the
                       well known technique of sequence alignments for solving
                       a novel and challenging problem: Measuring the
                       structural similarity of generalized trees. In other
                       words: We first transform our graphs considered as high
                       dimensional objects in linear structures. Then we
                       derive similarity values from the alignments of the
                       property strings in order to measure the structural
                       similarity of generalized trees. Hence, we transform a
                       graph similarity problem to a string similarity problem
                       for developing a efficient graph similarity measure. We
                       demonstrate that our similarity measure captures
                       important structural information by applying it to two
                       different test sets consisting of graphs representing
                       web-based document structures.},
      pdf            = {http://waset.org/publications/15299/application-of-a-similarity-measure-for-graphs-to-web-based-document-structures},
      website        = {https://www.researchgate.net/publication/238687277_Application_of_a_Similarity_Measure_for_Graphs_to_Web-based_Document_Structures},
      year           = 2005
    }
  • A. Mehler, “Preliminaries to an Algebraic Treatment of Lexical Associations,” in Learning and Extending Lexical Ontologies. Proceedings of the Workshop at the 22nd International Conference on Machine Learning (ICML ’05), August 7-11, 2005, Universität Bonn, Germany, 2005, pp. 41-47.
    [BibTeX]

    @InProceedings{Mehler:2005:c,
      Author         = {Mehler, Alexander},
      Title          = {Preliminaries to an Algebraic Treatment of Lexical
                       Associations},
      BookTitle      = {Learning and Extending Lexical Ontologies. Proceedings
                       of the Workshop at the 22nd International Conference on
                       Machine Learning (ICML '05), August 7-11, 2005,
                       Universit{\"a}t Bonn, Germany},
      Editor         = {Biemann, Chris and Paa{\ss}, Gerhard},
      Pages          = {41-47},
      year           = 2005
    }
  • [PDF] A. Mehler and R. Gleim, “Polymorphism in Generic Web Units. A corpus linguistic study,” in Proceedings of Corpus Linguistics ’05, July 14-17, 2005, University of Birmingham, Great Britian, 2005.
    [Abstract] [BibTeX]

    Corpus linguistics and related disciplines which focus                    on statistical analyses of textual units have                    substantial need for large corpora. More specifically,                    genre or register specific corpora are needed which                    allow studying variations in language use. Along with                    the incredible growth of the internet, the web became                    an important source of linguistic data. Of course, web                    corpora face the same problem of acquiring genre                    specific corpora. Amongst other things, web mining is                    a framework of methods for automatically assigning                    category labels to web units and thus may be seen as a                    solution to this corpus acquisition problem as far as                    genre categories are applied. The paper argues that                    this approach is faced with the problem of a                    many-to-many relation between expression units on the                    one hand and content or function units on the other                    hand. A quantitative study is performed which supports                    the argumentation that functions of web-based                    communication are very often concentrated on single web                    pages and thus interfere any effort of directly                    applying the classical apparatus of categorization on                    web page level. The paper outlines a two-level                    algorithm as an alternative approach to category                    assignment which is sensitive to genre specific                    structures and thus may be used to tackle the problem                    of acquiring genre specific corpora.
    @InProceedings{Mehler:Gleim:2005:a,
      Author         = {Mehler, Alexander and Gleim, Rüdiger},
      Title          = {Polymorphism in Generic Web Units. A corpus linguistic
                       study},
      BookTitle      = {Proceedings of Corpus Linguistics '05, July 14-17,
                       2005, University of Birmingham, Great Britian},
      Volume         = {Corpus Linguistics Conference Series 1(1)},
      abstract       = {Corpus linguistics and related disciplines which focus
                       on statistical analyses of textual units have
                       substantial need for large corpora. More specifically,
                       genre or register specific corpora are needed which
                       allow studying variations in language use. Along with
                       the incredible growth of the internet, the web became
                       an important source of linguistic data. Of course, web
                       corpora face the same problem of acquiring genre
                       specific corpora. Amongst other things, web mining is
                       a framework of methods for automatically assigning
                       category labels to web units and thus may be seen as a
                       solution to this corpus acquisition problem as far as
                       genre categories are applied. The paper argues that
                       this approach is faced with the problem of a
                       many-to-many relation between expression units on the
                       one hand and content or function units on the other
                       hand. A quantitative study is performed which supports
                       the argumentation that functions of web-based
                       communication are very often concentrated on single web
                       pages and thus interfere any effort of directly
                       applying the classical apparatus of categorization on
                       web page level. The paper outlines a two-level
                       algorithm as an alternative approach to category
                       assignment which is sensitive to genre specific
                       structures and thus may be used to tackle the problem
                       of acquiring genre specific corpora.},
      issn           = {1747-9398},
      pdf            = {http://www.birmingham.ac.uk/Documents/college-artslaw/corpus/conference-archives/2005-journal/Thewebasacorpus/AlexanderMehlerandRuedigerGleimCorpusLinguistics2005.pdf},
      year           = 2005
    }
  • [PDF] A. Mehler and C. Wolff, “Einleitung: Perspektiven und Positionen des Text Mining,” Journal for Language Technology and Computational Linguistics (JLCL), vol. 20, iss. 1, pp. 1-18, 2005.
    [Abstract] [BibTeX]

    Beiträge zum Thema Text Mining beginnen vielfach                    mit dem Hinweis auf die enorme Zunahme online                    verfügbarer Dokumente, ob nun im Internet oder in                    Intranets (Losiewicz et al. 2000; Merkl 2000; Feldman                    2001; Mehler 2001; Joachims & Leopold 2002). Der                    hiermit einhergehenden „Informationsflut“ wird das                    Ungenügen des Information Retrieval (IR) bzw. seiner                    gängigen Verfahren der Informationsaufbereitung und                    Informationserschließung gegenübergestellt. Es                    wird bemängelt, dass sich das IR weitgehend darin                    erschöpft, Teilmengen von Textkollektionen auf                    Suchanfragen hin aufzufinden und in der Regel bloß                    listenförmig anzuordnen. Das auf diese Weise                    dargestellte Spannungsverhältnis von                    Informationsexplosion und Defiziten bestehender                    IR-Verfahren bildet den Hintergrund für die                    Entwicklung von Verfahren zur automatischen                    Verarbeitung textueller Einheiten, die sich stärker                    an den Anforderungen von Informationssuchenden                    orientieren. Anders ausgedrückt: Mit der Einführung                    der Neuen Medien wächst die Bedeutung                    digitalisierter Dokumente als Primärmedium für die                    Verarbeitung, Verbreitung und Verwaltung von                    Information in öffentlichen und betrieblichen                    Organisationen. Dabei steht wegen der Menge zu                    verarbeitender Einheiten die Alternative einer                    intellektuellen Dokumenterschließung nicht zur                    Verfügung. Andererseits wachsen die Anforderung an                    eine automatische Textanalyse, der das klassische IR                    nicht gerecht wird. Der Mehrzahl der hiervon                    betroffenen textuellen Einheiten fehlt die explizite                    Strukturiertheit formaler Datenstrukturen. Vielmehr                    weisen sie je nach Text- bzw. Dokumenttyp ganz                    unterschiedliche Strukturierungsgrade auf. Dabei                    korreliert die Flexibilität der Organisationsziele                    negativ mit dem Grad an explizierter Strukturiertheit                    und positiv mit der Anzahl jener Texte und Texttypen                    (E-Mails, Memos, Expertisen, technische Dokumentationen                    etc.), die im Zuge ihrer Realisierung produziert bzw.                    rezipiert werden. Vor diesem Hintergrund entsteht ein                    Bedarf an Texttechnologien, die ihren Benutzern nicht                    nur „intelligente“ Schnittstellen zur Textrezeption                    anbieten, sondern zugleich auf inhaltsorientierte                    Textanalysen zielen, um auf diese Weise                    aufgabenrelevante Daten explorieren und kontextsensitiv                    aufbereiten zu helfen. Das Text Mining ist mit dem                    Versprechen verbunden, eine solche Technologie                    darzustellen bzw. sich als solche zu entwickeln. Dieser                    einheitlichen Problembeschreibung stehen konkurrierende                    Textmining-Spezifikationen gegenüber, was bereits die                    Vielfalt der Namensgebungen verdeutlicht. So finden                    sich neben der Bezeichnung Text Mining (Joachims &                    Leopold 2002; Tan 1999) die Alternativen • Text Data                    Mining (Hearst 1999b; Merkl 2000), • Textual Data                    Mining (Losiewicz et al. 2000), • Text Knowledge                    Engineering (Hahn & Schnattinger 1998), Knowledge                    Discovery in Texts (Kodratoff 1999) oder Knowledge                    Discovery in Textual Databases (Feldman & Dagan 1995).                    Dabei lässt bereits die Namensgebung erkennen, dass                    es sich um Analogiebildungen zu dem (nur unwesentlich                    älteren) Forschungsgebiet des Data Mining (DM; als                    Bestandteil des Knowledge Discovery in Databases –                    KDD) handelt. Diese Namensvielfalt findet ihre                    Entsprechung in widerstreitenden Aufgabenzuweisungen.                    So setzt beispielsweise Sebastiani (2002)                    Informationsextraktion und Text Mining weitgehend                    gleich, wobei er eine Schnittmenge zwischen Text Mining                    und Textkategorisierung ausmacht (siehe auch Dörre et                    al. 1999). Demgegenüber betrachten Kosala & Blockeel                    (2000) Informationsextraktion und Textkategorisierung                    lediglich als Teilbereiche des ihrer Ansicht nach                    umfassenderen Text Mining, während Hearst (1999a)                    im Gegensatz hierzu Informationsextraktion und                    Textkategorisierung explizit aus dem Bereich des                    explorativen Text Mining ausschließt.
    @Article{Mehler:Wolff:2005:b,
      Author         = {Mehler, Alexander and Wolff, Christian},
      Title          = {Einleitung: Perspektiven und Positionen des Text
                       Mining},
      Journal        = {Journal for Language Technology and Computational
                       Linguistics (JLCL)},
      Volume         = {20},
      Number         = {1},
      Pages          = {1-18},
      abstract       = {Beitr{\"a}ge zum Thema Text Mining beginnen vielfach
                       mit dem Hinweis auf die enorme Zunahme online
                       verfügbarer Dokumente, ob nun im Internet oder in
                       Intranets (Losiewicz et al. 2000; Merkl 2000; Feldman
                       2001; Mehler 2001; Joachims \& Leopold 2002). Der
                       hiermit einhergehenden „Informationsflut“ wird das
                       Ungenügen des Information Retrieval (IR) bzw. seiner
                       g{\"a}ngigen Verfahren der Informationsaufbereitung und
                       Informationserschlie{\ss}ung gegenübergestellt. Es
                       wird bem{\"a}ngelt, dass sich das IR weitgehend darin
                       erschöpft, Teilmengen von Textkollektionen auf
                       Suchanfragen hin aufzufinden und in der Regel blo{\ss}
                       listenförmig anzuordnen. Das auf diese Weise
                       dargestellte Spannungsverh{\"a}ltnis von
                       Informationsexplosion und Defiziten bestehender
                       IR-Verfahren bildet den Hintergrund für die
                       Entwicklung von Verfahren zur automatischen
                       Verarbeitung textueller Einheiten, die sich st{\"a}rker
                       an den Anforderungen von Informationssuchenden
                       orientieren. Anders ausgedrückt: Mit der Einführung
                       der Neuen Medien w{\"a}chst die Bedeutung
                       digitalisierter Dokumente als Prim{\"a}rmedium für die
                       Verarbeitung, Verbreitung und Verwaltung von
                       Information in öffentlichen und betrieblichen
                       Organisationen. Dabei steht wegen der Menge zu
                       verarbeitender Einheiten die Alternative einer
                       intellektuellen Dokumenterschlie{\ss}ung nicht zur
                       Verfügung. Andererseits wachsen die Anforderung an
                       eine automatische Textanalyse, der das klassische IR
                       nicht gerecht wird. Der Mehrzahl der hiervon
                       betroffenen textuellen Einheiten fehlt die explizite
                       Strukturiertheit formaler Datenstrukturen. Vielmehr
                       weisen sie je nach Text- bzw. Dokumenttyp ganz
                       unterschiedliche Strukturierungsgrade auf. Dabei
                       korreliert die Flexibilit{\"a}t der Organisationsziele
                       negativ mit dem Grad an explizierter Strukturiertheit
                       und positiv mit der Anzahl jener Texte und Texttypen
                       (E-Mails, Memos, Expertisen, technische Dokumentationen
                       etc.), die im Zuge ihrer Realisierung produziert bzw.
                       rezipiert werden. Vor diesem Hintergrund entsteht ein
                       Bedarf an Texttechnologien, die ihren Benutzern nicht
                       nur „intelligente“ Schnittstellen zur Textrezeption
                       anbieten, sondern zugleich auf inhaltsorientierte
                       Textanalysen zielen, um auf diese Weise
                       aufgabenrelevante Daten explorieren und kontextsensitiv
                       aufbereiten zu helfen. Das Text Mining ist mit dem
                       Versprechen verbunden, eine solche Technologie
                       darzustellen bzw. sich als solche zu entwickeln. Dieser
                       einheitlichen Problembeschreibung stehen konkurrierende
                       Textmining-Spezifikationen gegenüber, was bereits die
                       Vielfalt der Namensgebungen verdeutlicht. So finden
                       sich neben der Bezeichnung Text Mining (Joachims \&
                       Leopold 2002; Tan 1999) die Alternativen • Text Data
                       Mining (Hearst 1999b; Merkl 2000), • Textual Data
                       Mining (Losiewicz et al. 2000), • Text Knowledge
                       Engineering (Hahn \& Schnattinger 1998), Knowledge
                       Discovery in Texts (Kodratoff 1999) oder Knowledge
                       Discovery in Textual Databases (Feldman \& Dagan 1995).
                       Dabei l{\"a}sst bereits die Namensgebung erkennen, dass
                       es sich um Analogiebildungen zu dem (nur unwesentlich
                       {\"a}lteren) Forschungsgebiet des Data Mining (DM; als
                       Bestandteil des Knowledge Discovery in Databases –
                       KDD) handelt. Diese Namensvielfalt findet ihre
                       Entsprechung in widerstreitenden Aufgabenzuweisungen.
                       So setzt beispielsweise Sebastiani (2002)
                       Informationsextraktion und Text Mining weitgehend
                       gleich, wobei er eine Schnittmenge zwischen Text Mining
                       und Textkategorisierung ausmacht (siehe auch Dörre et
                       al. 1999). Demgegenüber betrachten Kosala \& Blockeel
                       (2000) Informationsextraktion und Textkategorisierung
                       lediglich als Teilbereiche des ihrer Ansicht nach
                       umfassenderen Text Mining, w{\"a}hrend Hearst (1999a)
                       im Gegensatz hierzu Informationsextraktion und
                       Textkategorisierung explizit aus dem Bereich des
                       explorativen Text Mining ausschlie{\ss}t.},
      pdf            = {https://www.texttechnologylab.org/wp-content/uploads/2015/08/mehler_wolff_2005_b.pdf},
      website        = {http://epub.uni-regensburg.de/6844/},
      year           = 2005
    }
  • A. Mehler, Korpuslinguistik, A. Mehler, Ed., , 2005, vol. 20(2).
    [BibTeX]

    @Book{Mehler:2005:e,
      Author         = {Mehler, Alexander},
      Editor         = {Mehler, Alexander},
      Title          = {Korpuslinguistik},
      Volume         = {20(2)},
      Series         = {Journal for Language Technology and Computational
                       Linguistics (JLCL)},
      image          = {https://www.texttechnologylab.org/wp-content/uploads/2015/09/Korpuslinguistik.png},
      pagetotal      = {97},
      website        = {http://www.jlcl.org/2005_Heft2/LDV_Forum_Band_20_Heft_2.pdf},
      year           = 2005
    }
  • A. Mehler, M. Dehmer, and R. Gleim, “Zur Automatischen Klassifikation von Webgenres,” in Sprachtechnologie, mobile Kommunikation und linguistische Ressourcen. Beiträge zur GLDV-Frühjahrstagung ’05, 10. März – 01. April 2005, Universität Bonn, Frankfurt a. M., 2005, pp. 158-174.
    [BibTeX]

    @InProceedings{Mehler:Dehmer:Gleim:2005,
      Author         = {Mehler, Alexander and Dehmer, Matthias and Gleim,
                       Rüdiger},
      Title          = {Zur Automatischen Klassifikation von Webgenres},
      BookTitle      = {Sprachtechnologie, mobile Kommunikation und
                       linguistische Ressourcen. Beitr{\"a}ge zur
                       GLDV-Frühjahrstagung '05, 10. M{\"a}rz – 01. April
                       2005, Universit{\"a}t Bonn},
      Editor         = {Fisseni, Bernhard and Schmitz, Hans-Christina and
                       Schröder, Bernhard and Wagner, Petra},
      Pages          = {158-174},
      Address        = {Frankfurt a. M.},
      Publisher      = {Lang},
      year           = 2005
    }
  • A. Mehler and C. Wolff, Text Mining, A. Mehler and C. Wolff, Eds., GSCL, 2005, vol. 20(1).
    [BibTeX]

    @Book{Mehler:Wolff:2005:a,
      Author         = {Mehler, Alexander and Wolff, Christian},
      Editor         = {Mehler, Alexander and Wolff, Christian},
      Title          = {Text Mining},
      Publisher      = {GSCL},
      Volume         = {20(1)},
      Series         = {Journal for Language Technology and Computational
                       Linguistics (JLCL)},
      image          = {https://www.texttechnologylab.org/wp-content/uploads/2015/09/TextMining.png},
      pagetotal      = {143},
      website        = {http://www.jlcl.org/2005_Heft1/LDV-Forum1.2005.pdf},
      year           = 2005
    }
  • A. Mehler, “Eigenschaften der textuellen Einheiten und Systeme / Properties of Textual Units and Systems,” in Quantitative Linguistik. Ein internationales Handbuch / Quantitative Linguistics. An International Handbook, R. Köhler, G. Altmann, and R. G. Piotrowski, Eds., Berlin/New York: De Gruyter, 2005, pp. 325-348.
    [BibTeX]

    @InCollection{Mehler:2005:b,
      Author         = {Mehler, Alexander},
      Title          = {Eigenschaften der textuellen Einheiten und Systeme /
                       Properties of Textual Units and Systems},
      BookTitle      = {Quantitative Linguistik. Ein internationales Handbuch
                       / Quantitative Linguistics. An International Handbook},
      Publisher      = {De Gruyter},
      Editor         = {Köhler, Reinhard and Altmann, Gabriel and Piotrowski,
                       Raijmund G.},
      Pages          = {325-348},
      Address        = {Berlin/New York},
      year           = 2005
    }
  • [PDF] A. Mehler, “Lexical Chaining as a Source of Text Chaining,” in Proceedings of the 1st Computational Systemic Functional Grammar Conference, University of Sydney, Australia, 2005, pp. 12-21.
    [Abstract] [BibTeX]

    July 16, 2005,
    @InProceedings{Mehler:2005:d,
      Author         = {Mehler, Alexander},
      Title          = {Lexical Chaining as a Source of Text Chaining},
      BookTitle      = {Proceedings of the 1st Computational Systemic
                       Functional Grammar Conference, University of Sydney,
                       Australia},
      Editor         = {Patrick, Jon and Matthiessen, Christian},
      Pages          = {12-21},
      abstract       = {July 16, 2005,},
      pdf            = {http://www.www.texttechnologylab.org/media/pdf/CohesionTrees1.pdf},
      year           = 2005
    }
  • A. Mehler, “Zur textlinguistischen Fundierung der Text- und Korpuskonversion,” Sprache und Datenverarbeitung. International Journal for Language Data Processing, vol. 1, pp. 29-53, 2005.
    [Abstract] [BibTeX]

    Die automatische Konversion von Texten in Hypertexte                    ist mit der Erwartung verbunden, computerbasierte                    Rezeptionshilfen zu gewinnen. Dies betrifft                    insbesondere die Bewältigung der ungeheuren Menge                    an Fachliteratur im Rahmen der                    Wissenschaftskommunikation. Von einem thematisch                    relevanten Text zu einem thematisch verwandten Text per                    Hyperlink direkt gelangen zu können, stellt einen                    Anspruch dar, dessen Erfüllung mittels digitaler                    Bibliotheken näher gerückt zu sein scheint. Doch                    wie lassen sich die Kriterien, nach denen Texte                    automatisch verlinkt werden, genauer begründen? Dieser                    Beitrag geht dieser Frage aus der Sicht                    textlinguistischer Modellbildungen nach. Er zeigt, dass                    parallel zur Entwicklung der Textlinguistik, wenn auch                    mit einer gewissen Verzögerung, Konversionsansätze                    entwickelt wurden, die sich jeweils an einer bestimmten                    Stufe des Textbegriffs orientieren. Der Beitrag weist                    nicht nur das diesen Ansätzen gemeinsame Fundament                    in Form der so genannten Explikationshypothese nach,                    sondern verweist zugleich auf grundlegende                    Automatisierungsdefizite, die mit ihnen verbunden sind.                    Mit systemisch-funktionalen Hypertexten wird                    schließlich ein Ansatz skizziert, der darauf zielt,                    den Anspruch nach textlinguistischer Fundierung und                    Automatisierbarkeit zu vereinen.
    @Article{Mehler:2005:a,
      Author         = {Mehler, Alexander},
      Title          = {Zur textlinguistischen Fundierung der Text- und
                       Korpuskonversion},
      Journal        = {Sprache und Datenverarbeitung. International Journal
                       for Language Data Processing},
      Volume         = {1},
      Pages          = {29-53},
      abstract       = {Die automatische Konversion von Texten in Hypertexte
                       ist mit der Erwartung verbunden, computerbasierte
                       Rezeptionshilfen zu gewinnen. Dies betrifft
                       insbesondere die Bew{\"a}ltigung der ungeheuren Menge
                       an Fachliteratur im Rahmen der
                       Wissenschaftskommunikation. Von einem thematisch
                       relevanten Text zu einem thematisch verwandten Text per
                       Hyperlink direkt gelangen zu können, stellt einen
                       Anspruch dar, dessen Erfüllung mittels digitaler
                       Bibliotheken n{\"a}her gerückt zu sein scheint. Doch
                       wie lassen sich die Kriterien, nach denen Texte
                       automatisch verlinkt werden, genauer begründen? Dieser
                       Beitrag geht dieser Frage aus der Sicht
                       textlinguistischer Modellbildungen nach. Er zeigt, dass
                       parallel zur Entwicklung der Textlinguistik, wenn auch
                       mit einer gewissen Verzögerung, Konversionsans{\"a}tze
                       entwickelt wurden, die sich jeweils an einer bestimmten
                       Stufe des Textbegriffs orientieren. Der Beitrag weist
                       nicht nur das diesen Ans{\"a}tzen gemeinsame Fundament
                       in Form der so genannten Explikationshypothese nach,
                       sondern verweist zugleich auf grundlegende
                       Automatisierungsdefizite, die mit ihnen verbunden sind.
                       Mit systemisch-funktionalen Hypertexten wird
                       schlie{\ss}lich ein Ansatz skizziert, der darauf zielt,
                       den Anspruch nach textlinguistischer Fundierung und
                       Automatisierbarkeit zu vereinen.},
      publisher      = {GSCL},
      year           = 2005
    }

2004 (8)

  • A. Mehler, “Textmining,” in Texttechnologie. Perspektiven und Anwendungen, H. Lobin and L. Lemnitzer, Eds., Tübingen: Stauffenburg, 2004, pp. 329-352.
    [BibTeX]

    @InCollection{Mehler:2004:h,
      Author         = {Mehler, Alexander},
      Title          = {Textmining},
      BookTitle      = {Texttechnologie. Perspektiven und Anwendungen},
      Publisher      = {Stauffenburg},
      Editor         = {Lobin, Henning and Lemnitzer, Lothar},
      Pages          = {329-352},
      Address        = {Tübingen},
      year           = 2004
    }
  • A. Mehler and H. Lobin, “Aspekte der texttechnologischen Modellierung,” in Automatische Textanalyse: Systeme und Methoden zur Annotation und Analyse natürlichsprachlicher Texte, A. Mehler and H. Lobin, Eds., Wiesbaden: Verlag für Sozialwissenschaften, 2004, pp. 1-21.
    [BibTeX]

    @InCollection{Mehler:Lobin:2004:b,
      Author         = {Mehler, Alexander and Lobin, Henning},
      Title          = {Aspekte der texttechnologischen Modellierung},
      BookTitle      = {Automatische Textanalyse: Systeme und Methoden zur
                       Annotation und Analyse natürlichsprachlicher Texte},
      Publisher      = {Verlag für Sozialwissenschaften},
      Editor         = {Mehler, Alexander and Lobin, Henning},
      Pages          = {1-21},
      Address        = {Wiesbaden},
      year           = 2004
    }
  • A. Mehler and H. Lobin, Automatische Textanalyse. Systeme und Methoden zur Annotation und Analyse natürlichsprachlicher Texte, A. Mehler and H. Lobin, Eds., Wiesbaden: Verlag für Sozialwissenschaften, 2004.
    [BibTeX]

    @Book{Mehler:Lobin:2004:a,
      Author         = {Mehler, Alexander and Lobin, Henning},
      Editor         = {Mehler, Alexander and Lobin, Henning},
      Title          = {Automatische Textanalyse. Systeme und Methoden zur
                       Annotation und Analyse natürlichsprachlicher Texte},
      Publisher      = {Verlag für Sozialwissenschaften},
      Address        = {Wiesbaden},
      pagetotal      = {290},
      website        = {http://www.v-r.de/de/Mehler-Lobin-Automatische-Textanalyse/t/352526527/},
      year           = 2004
    }
  • A. Mehler, “Quantitative Methoden,” in Texttechnologie. Perspektiven und Anwendungen, H. Lobin and Lemnitzer Lothar, Eds., Tübingen: Stauffenburg, 2004, pp. 83-107.
    [BibTeX]

    @InCollection{Mehler:2004:g,
      Author         = {Mehler, Alexander},
      Title          = {Quantitative Methoden},
      BookTitle      = {Texttechnologie. Perspektiven und Anwendungen},
      Publisher      = {Stauffenburg},
      Editor         = {Lobin, Henning and Lemnitzer, Lothar,},
      Pages          = {83-107},
      Address        = {Tübingen},
      year           = 2004
    }
  • [PDF] A. Mehler, “A Data-Oriented Model of Context in Hypertext Authoring,” in Proceedings of the 7th International Workshop on Organisational Semiotics (OS ’04), July 19-20, 2004, Setúbal, Portugal, Setúbal, 2004, pp. 24-45.
    [BibTeX]

    @InProceedings{Mehler:2004:c,
      Author         = {Mehler, Alexander},
      Title          = {A Data-Oriented Model of Context in Hypertext
                       Authoring},
      BookTitle      = {Proceedings of the 7th International Workshop on
                       Organisational Semiotics (OS '04), July 19-20, 2004,
                       Setúbal, Portugal},
      Editor         = {Filipe, Joaquim and Liu, Kecheng},
      Pages          = {24-45},
      Address        = {Setúbal},
      Publisher      = {INSTICC},
      pdf            = {http://www.orgsem.org/papers/02.pdf},
      website        = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.121.7944},
      year           = 2004
    }
  • [PDF] A. Mehler, “Automatische Synthese Internet-basierter Links für digitale Bibliotheken,” Osnabrücker Beiträge zur Sprachtheorie. Themenheft Internetbasierte Kommunikation, vol. 68, pp. 31-53, 2004.
    [Abstract] [BibTeX]

    Dieser Beitrag behandelt Verfahren zur automatischen                    Erzeugung von Hyperlinks, wie sie im WWW für die                    Informationssuche bereitstehen. Dabei steht die Frage                    im Vordergrund, auf welche Weise bestehende Verfahren                    suchrelevante Dokumente bestimmen und von diesen aus                    inhaltsverwandte Dokumente verlinken. Dieser Gegenstand                    verbindet den Bereich des klassischen Information                    Retrievals (IR) mit einem Anwendungsgebiet, das in der                    Wissenschaftskommunikation unter dem Stichwort der                    digitalen Bibliothek unter Nutzbarmachung des                    Hyperlink-basierten Browsings firmiert. Ein Beispiel                    hierfür bildet die digitale Bibliothek CiteSeer                    (Lawrence et al. 1999), welche das Boolesche Retrieval                    dadurch erweitert, dass ausgehend von Treffern einer                    Suche jene Dokumente per Link angesteuert werden                    können, welche die aufgefundenen Dokumente zitieren                    oder von diesen zitiert werden. CiteSeer ist also ein                    System, welches das Schlagwort-basierte Querying im                    Rahmen des klassischen IRs mit dem Hypertext-basierten                    Browsing von Zitaten verknüpft, und zwar zu dem Zweck,                    die Suche wissenschaftlicher Dokumente zu erleichtern.                    Darüber hinaus verwendet es die unter dem Stichwort                    des Vektorraummodells bekannt gewordene Technologie                    für den wortbasierten Vergleich von Texten. Der                    Beitrag setzt an dieser Stelle an. Er argumentiert,                    dass Verfahren bereitstehen, welche die Anforderung                    nach inhaltsorientiertem Retrieval mit dem                    inhaltsorientierten Browsing verbinden, mit der                    Forderung also, dass Hyperlinks, die E-Texte als                    digitalisierte Versionen von (wissenschaftlichen)                    Dokumenten verknüpfen (Storrer 2002), Inhalts- und                    nicht nur Zitat-basiert sind.
    @Article{Mehler:2004:b,
      Author         = {Mehler, Alexander},
      Title          = {Automatische Synthese Internet-basierter Links für
                       digitale Bibliotheken},
      Journal        = {Osnabrücker Beitr{\"a}ge zur Sprachtheorie.
                       Themenheft Internetbasierte Kommunikation},
      Volume         = {68},
      Pages          = {31-53},
      abstract       = {Dieser Beitrag behandelt Verfahren zur automatischen
                       Erzeugung von Hyperlinks, wie sie im WWW für die
                       Informationssuche bereitstehen. Dabei steht die Frage
                       im Vordergrund, auf welche Weise bestehende Verfahren
                       suchrelevante Dokumente bestimmen und von diesen aus
                       inhaltsverwandte Dokumente verlinken. Dieser Gegenstand
                       verbindet den Bereich des klassischen Information
                       Retrievals (IR) mit einem Anwendungsgebiet, das in der
                       Wissenschaftskommunikation unter dem Stichwort der
                       digitalen Bibliothek unter Nutzbarmachung des
                       Hyperlink-basierten Browsings firmiert. Ein Beispiel
                       hierfür bildet die digitale Bibliothek CiteSeer
                       (Lawrence et al. 1999), welche das Boolesche Retrieval
                       dadurch erweitert, dass ausgehend von Treffern einer
                       Suche jene Dokumente per Link angesteuert werden
                       können, welche die aufgefundenen Dokumente zitieren
                       oder von diesen zitiert werden. CiteSeer ist also ein
                       System, welches das Schlagwort-basierte Querying im
                       Rahmen des klassischen IRs mit dem Hypertext-basierten
                       Browsing von Zitaten verknüpft, und zwar zu dem Zweck,
                       die Suche wissenschaftlicher Dokumente zu erleichtern.
                       Darüber hinaus verwendet es die unter dem Stichwort
                       des Vektorraummodells bekannt gewordene Technologie
                       für den wortbasierten Vergleich von Texten. Der
                       Beitrag setzt an dieser Stelle an. Er argumentiert,
                       dass Verfahren bereitstehen, welche die Anforderung
                       nach inhaltsorientiertem Retrieval mit dem
                       inhaltsorientierten Browsing verbinden, mit der
                       Forderung also, dass Hyperlinks, die E-Texte als
                       digitalisierte Versionen von (wissenschaftlichen)
                       Dokumenten verknüpfen (Storrer 2002), Inhalts- und
                       nicht nur Zitat-basiert sind.},
      pdf            = {https://www.texttechnologylab.org/wp-content/uploads/2015/08/mehler_2004_b.pdf},
      year           = 2004
    }
  • [PDF] M. Dehmer, A. Mehler, and R. Gleim, “Aspekte der Kategorisierung von Webseiten,” in INFORMATIK 2004 – Informatik verbindet, Band 2, Beiträge der 34. Jahrestagung der Gesellschaft für Informatik e.V. (GI). Workshop Multimedia-Informationssysteme, 2004, pp. 39-43.
    [Abstract] [BibTeX]

    Im Zuge der Web-basierten Kommunikation tritt die                    Frage auf, inwiefern Webpages zum Zwecke ihrer                    inhaltsorientierten Filterung kategorisiert werden                    können. Diese Studie untersucht zwei Phänomene,                    welche die Bedingung der Möglichkeit einer solchen                    Kategorisierung betreffen (siehe [6]): Mit dem Begriff                    der funktionalen Aquivalenz beziehen wir uns auf das                    Phänomen, dass dieselbe Funktions- oder                    Inhaltskategorie durch völlig verschiedene Bausteine                    Web-basierter Dokumente manifestiert werden kann. Mit                    dem Begriff des Polymorphie beziehen wir uns auf das                    Phänomen, dass dasselbe Dokument zugleich mehrere                    Funktions- oder Inhaltskategorien manifestieren kann.                    Die zentrale Hypothese lautet, dass beide Phänomene                    für Web-basierte Hypertextstrukturen charakteristisch                    sind. Ist dies der Fall, so kann die automatische                    Kategorisierung von Hypertexten [2, 10] nicht mehr als                    eindeutige Zuordnung verstanden werden, bei der einem                    Dokument genau eine Kategorie zugeordnet wird. In                    diesem Sinne thematisiert das Papier die Frage nach der                    adäquaten Modellierung multimedialer Dokumente.
    @InProceedings{Dehmer:Mehler:Gleim:2004,
      Author         = {Dehmer, Matthias and Mehler, Alexander and Gleim,
                       Rüdiger},
      Title          = {Aspekte der Kategorisierung von Webseiten},
      BookTitle      = {INFORMATIK 2004 – Informatik verbindet, Band 2,
                       Beitr{\"a}ge der 34. Jahrestagung der Gesellschaft für
                       Informatik e.V. (GI). Workshop
                       Multimedia-Informationssysteme},
      Editor         = {Dadam, Peter and Reichert, Manfred},
      Volume         = {51},
      Series         = {Lecture Notes in Informatics},
      Pages          = {39-43},
      Publisher      = {GI},
      abstract       = {Im Zuge der Web-basierten Kommunikation tritt die
                       Frage auf, inwiefern Webpages zum Zwecke ihrer
                       inhaltsorientierten Filterung kategorisiert werden
                       können. Diese Studie untersucht zwei Ph{\"a}nomene,
                       welche die Bedingung der Möglichkeit einer solchen
                       Kategorisierung betreffen (siehe [6]): Mit dem Begriff
                       der funktionalen Aquivalenz beziehen wir uns auf das
                       Ph{\"a}nomen, dass dieselbe Funktions- oder
                       Inhaltskategorie durch völlig verschiedene Bausteine
                       Web-basierter Dokumente manifestiert werden kann. Mit
                       dem Begriff des Polymorphie beziehen wir uns auf das
                       Ph{\"a}nomen, dass dasselbe Dokument zugleich mehrere
                       Funktions- oder Inhaltskategorien manifestieren kann.
                       Die zentrale Hypothese lautet, dass beide Ph{\"a}nomene
                       für Web-basierte Hypertextstrukturen charakteristisch
                       sind. Ist dies der Fall, so kann die automatische
                       Kategorisierung von Hypertexten [2, 10] nicht mehr als
                       eindeutige Zuordnung verstanden werden, bei der einem
                       Dokument genau eine Kategorie zugeordnet wird. In
                       diesem Sinne thematisiert das Papier die Frage nach der
                       ad{\"a}quaten Modellierung multimedialer Dokumente.},
      pdf            = {http://subs.emis.de/LNI/Proceedings/Proceedings51/GI-Proceedings.51-11.pdf},
      website        = {https://www.researchgate.net/publication/221385316_Aspekte_der_Kategorisierung_von_Webseiten},
      year           = 2004
    }
  • A. Mehler, “Textmodellierung: Mehrstufige Modellierung generischer Bausteine der Textähnlichkeitsmessung,” in Automatische Textanalyse: Systeme und Methoden zur Annotation und Analyse natürlichsprachlicher Texte, A. Mehler and H. Lobin, Eds., Wiesbaden: Verlag für Sozialwissenschaften, 2004, pp. 101-120.
    [BibTeX]

    @InCollection{Mehler:2003:d,
      Author         = {Mehler, Alexander},
      Title          = {Textmodellierung: Mehrstufige Modellierung generischer
                       Bausteine der Text{\"a}hnlichkeitsmessung},
      BookTitle      = {Automatische Textanalyse: Systeme und Methoden zur
                       Annotation und Analyse natürlichsprachlicher Texte},
      Publisher      = {Verlag für Sozialwissenschaften},
      Editor         = {Mehler, Alexander and Lobin, Henning},
      Pages          = {101-120},
      Address        = {Wiesbaden},
      image          = {https://www.texttechnologylab.org/wp-content/uploads/2015/09/AutomatischeTextanalyse2.jpg},
      year           = 2004
    }

2003 (4)

  • A. Mehler, “Methodological Aspects of Computational Semiotics,” SEED Journal, vol. 3, iss. 3, pp. 71-80, 2003.
    [Abstract] [BibTeX]

    In the following, elementary constituents of models in                    computational semiotics are outlined. This is done by                    referring to computer simulations as a framework which                    neither aims to describe artificial sign systems (as                    done in computer semiotics), nor to realize semiotic                    functions in “artificial worlds” (as proposed in                    “artificial semiosis”). Rather, the framework                    referred to focuses on preconditions of computer-based                    simulations of semiotic processes. Following this                    approach, the paper focuses on methodological aspects                    of computational semiotics.
    @Article{Mehler:2003:b,
      Author         = {Mehler, Alexander},
      Title          = {Methodological Aspects of Computational Semiotics},
      Journal        = {SEED Journal},
      Volume         = {3},
      Number         = {3},
      Pages          = {71-80},
      abstract       = {In the following, elementary constituents of models in
                       computational semiotics are outlined. This is done by
                       referring to computer simulations as a framework which
                       neither aims to describe artificial sign systems (as
                       done in computer semiotics), nor to realize semiotic
                       functions in “artificial worlds” (as proposed in
                       “artificial semiosis”). Rather, the framework
                       referred to focuses on preconditions of computer-based
                       simulations of semiotic processes. Following this
                       approach, the paper focuses on methodological aspects
                       of computational semiotics.},
      year           = 2003
    }
  • [PDF] A. Mehler, “Konnotative Textbedeutungen: zur Modellierung struktureller Aspekte der Bedeutungen von Texten,” in Korpuslinguistische Untersuchungen zur quantitativen und systemtheoretischen Linguistik, R. Köhler, Ed., Sankt Augustin: Gardez! Verlag, 2003, pp. 320-347.
    [BibTeX]

    @InCollection{Mehler:2003,
      Author         = {Mehler, Alexander},
      Title          = {Konnotative Textbedeutungen: zur Modellierung
                       struktureller Aspekte der Bedeutungen von Texten},
      BookTitle      = {Korpuslinguistische Untersuchungen zur quantitativen
                       und systemtheoretischen Linguistik},
      Publisher      = {Gardez! Verlag},
      Editor         = {Köhler, Reinhard},
      Pages          = {320-347},
      Address        = {Sankt Augustin},
      pdf            = {http://ubt.opus.hbz-nrw.de/volltexte/2004/279/pdf/10_mehler.pdf},
      year           = 2003
    }
  • A. Mehler and S. Reich, “Guided Tours + Trails := Guided Trails,” in Poster at the 14th ACM Conference on Hypertext and Hypermedia (Hypertext ’03), Nottingham, August 26-30, 2003, pp. 1-2.
    [BibTeX]

    @InProceedings{Mehler:Reich:2003,
      Author         = {Mehler, Alexander and Reich, Siegfried},
      Title          = {Guided Tours + Trails := Guided Trails},
      BookTitle      = {Poster at the 14th ACM Conference on Hypertext and
                       Hypermedia (Hypertext '03), Nottingham, August 26-30},
      Pages          = {1-2},
      website        = {http://www.sigweb.org/Ht03posters},
      year           = 2003
    }
  • [PDF] A. Mehler, “Ein Kompositionalitätsprinzip für numerische Textsemantiken,” Journal for Language Technology and Computational Linguistics (JLCL), vol. 18, iss. 1-2, pp. 321-337, 2003.
    [Abstract] [BibTeX]

    Der Beitrag beschreibt eine Variante des                    Kompositionalitätsprinzips der Bedeutung als                    Grundprinzip für die numerische Analyse                    unsystematischer Sinnrelationen komplexer Zeichen, das                    über das Phänomen der perspektivischen                    Interpretation hinaus gebrauchssemantische                    Bedeutungsaspekte berücksichtigt. Ziel ist es, ein                    theoretisches Fundament für korpusanalytische                    Ansätze in der Semantik, die oftmals die                    linguistische Interpretierbarkeit ihrer                    Analyseergebnisse vermissen lassen, zu umreißen.                    Die Spezifikation des Kompositionalitätsprinzips                    erfolgt unter Rekurs auf das Modell eines hierarchisch                    geordneten Constraint-Satisfaction-Prozesses. Hiermit                    ist das längerfristige Ziel verbunden, das Problem                    einer defizitären numerischen                    Textrepräsentation sowie die mangelnde Integration                    von propositionaler und strukturaler bzw.                    korpusanalytischer Semantik anzugehen. Die                    Erörterungen dieses Beitrags sind primär                    konzeptioneller Natur; sie betreffen die Konzeption                    einer numerischen Textsemantik zur Vermeidung von                    Defiziten bestehender Ansätze.
    @Article{Mehler:2003:c,
      Author         = {Mehler, Alexander},
      Title          = {Ein Kompositionalit{\"a}tsprinzip für numerische
                       Textsemantiken},
      Journal        = {Journal for Language Technology and Computational
                       Linguistics (JLCL)},
      Volume         = {18},
      Number         = {1-2},
      Pages          = {321-337},
      abstract       = {Der Beitrag beschreibt eine Variante des
                       Kompositionalit{\"a}tsprinzips der Bedeutung als
                       Grundprinzip für die numerische Analyse
                       unsystematischer Sinnrelationen komplexer Zeichen, das
                       über das Ph{\"a}nomen der perspektivischen
                       Interpretation hinaus gebrauchssemantische
                       Bedeutungsaspekte berücksichtigt. Ziel ist es, ein
                       theoretisches Fundament für korpusanalytische
                       Ans{\"a}tze in der Semantik, die oftmals die
                       linguistische Interpretierbarkeit ihrer
                       Analyseergebnisse vermissen lassen, zu umrei{\ss}en.
                       Die Spezifikation des Kompositionalit{\"a}tsprinzips
                       erfolgt unter Rekurs auf das Modell eines hierarchisch
                       geordneten Constraint-Satisfaction-Prozesses. Hiermit
                       ist das l{\"a}ngerfristige Ziel verbunden, das Problem
                       einer defizit{\"a}ren numerischen
                       Textrepr{\"a}sentation sowie die mangelnde Integration
                       von propositionaler und strukturaler bzw.
                       korpusanalytischer Semantik anzugehen. Die
                       Erörterungen dieses Beitrags sind prim{\"a}r
                       konzeptioneller Natur; sie betreffen die Konzeption
                       einer numerischen Textsemantik zur Vermeidung von
                       Defiziten bestehender Ans{\"a}tze.},
      pdf            = {http://media.dwds.de/jlcl/2003_Doppelheft/321-337_Mehler.pdf},
      year           = 2003
    }

2002 (7)

  • [PDF] A. Mehler, “Components of a Model of Context-Sensitive Hypertexts,” Journal of Universal Computer Science (J.UCS), vol. 8, iss. 10, pp. 924-943, 2002.
    [Abstract] [BibTeX]

    On the background of rising Intranet applications the                    automatic generation of adaptable, context-sensitive                    hypertexts becomes more and more important [El-Beltagy                    et al., 2001]. This observation contradicts the                    literature on hypertext authoring, where Information                    Retrieval techniques prevail, which disregard any                    linguistic and context-theoretical underpinning. As a                    consequence, resulting hypertexts do not manifest those                    schematic structures, which are constitutive for the                    emergence of text types and the context-mediated                    understanding of their instances, i.e. natural language                    texts. This paper utilizes Systemic Functional                    Linguistics (SFL) and its context model as a                    theoretical basis of hypertext authoring. So called                    Systemic Functional Hypertexts (SFHT) are proposed,                    which refer to a stratified context layer as the proper                    source of text linkage. The purpose of this paper is                    twofold: First, hypertexts are reconstructed from a                    linguistic point of view as a kind of supersign, whose                    constituents are natural language texts and whose                    structuring is due to intra- and intertextual coherence                    relations and their context-sensitive interpretation.                    Second, the paper prepares a formal notion of SFHTs as                    a first step towards operationalization of fundamental                    text linguistic concepts. On this background, SFHTs                    serve to overcome the theoretical poverty of many                    approaches to link generation.
    @Article{Mehler:2002:l,
      Author         = {Mehler, Alexander},
      Title          = {Components of a Model of Context-Sensitive Hypertexts},
      Journal        = {Journal of Universal Computer Science (J.UCS)},
      Volume         = {8},
      Number         = {10},
      Pages          = {924-943},
      abstract       = {On the background of rising Intranet applications the
                       automatic generation of adaptable, context-sensitive
                       hypertexts becomes more and more important [El-Beltagy
                       et al., 2001]. This observation contradicts the
                       literature on hypertext authoring, where Information
                       Retrieval techniques prevail, which disregard any
                       linguistic and context-theoretical underpinning. As a
                       consequence, resulting hypertexts do not manifest those
                       schematic structures, which are constitutive for the
                       emergence of text types and the context-mediated
                       understanding of their instances, i.e. natural language
                       texts. This paper utilizes Systemic Functional
                       Linguistics (SFL) and its context model as a
                       theoretical basis of hypertext authoring. So called
                       Systemic Functional Hypertexts (SFHT) are proposed,
                       which refer to a stratified context layer as the proper
                       source of text linkage. The purpose of this paper is
                       twofold: First, hypertexts are reconstructed from a
                       linguistic point of view as a kind of supersign, whose
                       constituents are natural language texts and whose
                       structuring is due to intra- and intertextual coherence
                       relations and their context-sensitive interpretation.
                       Second, the paper prepares a formal notion of SFHTs as
                       a first step towards operationalization of fundamental
                       text linguistic concepts. On this background, SFHTs
                       serve to overcome the theoretical poverty of many
                       approaches to link generation.},
      pdf            = {https://www.texttechnologylab.org/wp-content/uploads/2015/08/mehler_components_2002.pdf},
      website        = {http://www.jucs.org/jucs_8_10/components_of_a_model},
      year           = 2002
    }
  • A. Mehler and R. Clarke, “Systemic Functional Hypertexts. An Architecture for Socialsemiotic Hypertext Systems,” in New Directions in Humanities Computing. The 14th Joint International Conference of the Association for Literary and Linguistic Computing and the Association for Computers and the Humanities (ALLC/ACH ’02), July 24-28, University of Tübingen, 2002, pp. 68-69.
    [BibTeX]

    @InProceedings{Mehler:Clarke:2002,
      Author         = {Mehler, Alexander and Clarke, Rodney},
      Title          = {Systemic Functional Hypertexts. An Architecture for
                       Socialsemiotic Hypertext Systems},
      BookTitle      = {New Directions in Humanities Computing. The 14th Joint
                       International Conference of the Association for
                       Literary and Linguistic Computing and the Association
                       for Computers and the Humanities (ALLC/ACH '02), July
                       24-28, University of Tübingen},
      Pages          = {68-69},
      year           = 2002
    }
  • A. Mehler, “Text Mining with the Help of Cohesion Trees,” in Classification, Automation, and New Media. Proceedings of the 24th Annual Conference of the Gesellschaft für Klassifikation, March 15-17, 2000, Universität Passau, Berlin/New York, 2002, pp. 199-206.
    [Abstract] [BibTeX]

    In the framework of automatic text processing,                    semantic spaces are used as a format for modeling                    similarities of natural language texts represented as                    vectors. They prove to be efficient in divergent areas,                    as information retrieval (Dumais 1995), computational                    psychology (Landauer, Dumais 1997), and computational                    linguistics (Rieger 1995; Mehler 1998). In order to                    group semantically similar texts, cluster analysis is                    used. A central problem of this method relates to the                    difficulty to name clusters, whereas lists neglect the                    polyhierarchical structure of semantic spaces. This                    paper introduces the concept of cohesion tree as an                    alternative tool for exploring similarity relations of                    texts represented in high dimensional spaces. Cohesion                    trees allow the perspective evaluation of numerically                    represented text similarities. They depart from minimal                    spanning trees (MST) by context-sensitively optimizing                    path costs. This central property underlies the                    linguistic interpretation of cohesion trees: instead of                    manifesting context-free associations, they model                    context priming effects.
    @InProceedings{Mehler:2002:e,
      Author         = {Mehler, Alexander},
      Title          = {Text Mining with the Help of Cohesion Trees},
      BookTitle      = {Classification, Automation, and New Media. Proceedings
                       of the 24th Annual Conference of the Gesellschaft für
                       Klassifikation, March 15-17, 2000, Universit{\"a}t
                       Passau},
      Editor         = {Gaul, Wolfgang and Ritter, Gunter},
      Pages          = {199-206},
      Address        = {Berlin/New York},
      Publisher      = {Springer},
      abstract       = {In the framework of automatic text processing,
                       semantic spaces are used as a format for modeling
                       similarities of natural language texts represented as
                       vectors. They prove to be efficient in divergent areas,
                       as information retrieval (Dumais 1995), computational
                       psychology (Landauer, Dumais 1997), and computational
                       linguistics (Rieger 1995; Mehler 1998). In order to
                       group semantically similar texts, cluster analysis is
                       used. A central problem of this method relates to the
                       difficulty to name clusters, whereas lists neglect the
                       polyhierarchical structure of semantic spaces. This
                       paper introduces the concept of cohesion tree as an
                       alternative tool for exploring similarity relations of
                       texts represented in high dimensional spaces. Cohesion
                       trees allow the perspective evaluation of numerically
                       represented text similarities. They depart from minimal
                       spanning trees (MST) by context-sensitively optimizing
                       path costs. This central property underlies the
                       linguistic interpretation of cohesion trees: instead of
                       manifesting context-free associations, they model
                       context priming effects.},
      website        = {http://www.springerlink.com/content/x484814744877078/},
      year           = 2002
    }
  • A. Mehler, “Cohesive Paths: Applying the Concept of Cohesion to Hypertext,” in Sprachwissenschaft auf dem Weg in das dritte Jahrtausend. Proceedings of the 34th Linguistics Colloquium, September 7-10, 1999, Universität Mainz, Frankfurt a. M., 2002, pp. 725-733.
    [BibTeX]

    @InProceedings{Mehler:2002:f,
      Author         = {Mehler, Alexander},
      Title          = {Cohesive Paths: Applying the Concept of Cohesion to
                       Hypertext},
      BookTitle      = {Sprachwissenschaft auf dem Weg in das dritte
                       Jahrtausend. Proceedings of the 34th Linguistics
                       Colloquium, September 7-10, 1999, Universit{\"a}t Mainz},
      Editor         = {Rapp, Reinhard},
      Pages          = {725-733},
      Address        = {Frankfurt a. M.},
      Publisher      = {Peter Lang},
      year           = 2002
    }
  • [PDF] A. Mehler, “Hierarchical Orderings of Textual Units,” in Proceedings of the 19th International Conference on Computational Linguistics (COLING ’02), August 24 – September 1, 2002, Taipei, Taiwan, San Francisco, 2002, pp. 646-652.
    [Abstract] [BibTeX]

    Text representation is a central task for any approach                    to automatic learning from texts. It requires a format                    which allows to interrelate texts even if they do not                    share content words, but deal with similar topics.                    Furthermore, measuring text similarities raises the                    question of how to organize the resulting clusters.                    This paper presents cohesion trees (CT) as a data                    structure for the perspective, hierarchical                    organization of text corpora. CTs operate on                    alternative text representation models taking lexical                    organization, quantitative text characteristics, and                    text structure into account. It is shown that CTs                    realize text linkages which are lexically more                    homogeneous than those produced by minimal spanning                    trees.
    @InProceedings{Mehler:2002:k,
      Author         = {Mehler, Alexander},
      Title          = {Hierarchical Orderings of Textual Units},
      BookTitle      = {Proceedings of the 19th International Conference on
                       Computational Linguistics (COLING '02), August 24 –
                       September 1, 2002, Taipei, Taiwan},
      Pages          = {646-652},
      Address        = {San Francisco},
      Publisher      = {Morgan Kaufmann},
      abstract       = {Text representation is a central task for any approach
                       to automatic learning from texts. It requires a format
                       which allows to interrelate texts even if they do not
                       share content words, but deal with similar topics.
                       Furthermore, measuring text similarities raises the
                       question of how to organize the resulting clusters.
                       This paper presents cohesion trees (CT) as a data
                       structure for the perspective, hierarchical
                       organization of text corpora. CTs operate on
                       alternative text representation models taking lexical
                       organization, quantitative text characteristics, and
                       text structure into account. It is shown that CTs
                       realize text linkages which are lexically more
                       homogeneous than those produced by minimal spanning
                       trees.},
      pdf            = {https://www.texttechnologylab.org/wp-content/uploads/2015/08/mehler_2002_k.pdf},
      year           = 2002
    }
  • [PDF] A. Mehler, “Hierarchical Analysis of Text Similarity Data,” Künstliche Intelligenz (KI), vol. 2, pp. 12-16, 2002.
    [Abstract] [BibTeX]

    Semantic spaces are used as a representational format                    for modeling similarities of signs. As a                    multidimensional data structure they are bound to the                    question of how to explore similarity relations of                    signs mapped onto them. This paper introduces an                    abstract data structure called dependency scheme as a                    formal format which encapsulates two types of order                    relations, whose variable instatiation allows to derive                    different classes of trees for the hierarchial analysis                    of text similarity data derived from semantic spaces.
    @Article{Mehler:2002:a,
      Author         = {Mehler, Alexander},
      Title          = {Hierarchical Analysis of Text Similarity Data},
      Journal        = {Künstliche Intelligenz (KI)},
      Volume         = {2},
      Pages          = {12-16},
      abstract       = {Semantic spaces are used as a representational format
                       for modeling similarities of signs. As a
                       multidimensional data structure they are bound to the
                       question of how to explore similarity relations of
                       signs mapped onto them. This paper introduces an
                       abstract data structure called dependency scheme as a
                       formal format which encapsulates two types of order
                       relations, whose variable instatiation allows to derive
                       different classes of trees for the hierarchial analysis
                       of text similarity data derived from semantic spaces.},
      pdf            = {https://www.texttechnologylab.org/wp-content/uploads/2015/08/mehler_2002_a.pdf},
      year           = 2002
    }
  • A. Mehler, “Textbedeutungsrekonstruktion. Grundzüge einer Architektur zur Modellierung der Bedeutungen von Texten,” in Prozesse der Bedeutungskonstruktion, I. Pohl, Ed., Frankfurt a. M.: Peter Lang, 2002, pp. 445-486.
    [BibTeX]

    @InCollection{Mehler:2002:b,
      Author         = {Mehler, Alexander},
      Title          = {Textbedeutungsrekonstruktion. Grundzüge einer
                       Architektur zur Modellierung der Bedeutungen von Texten},
      BookTitle      = {Prozesse der Bedeutungskonstruktion},
      Publisher      = {Peter Lang},
      Editor         = {Pohl, Inge},
      Pages          = {445-486},
      Address        = {Frankfurt a. M.},
      year           = 2002
    }

2001 (3)

  • [PDF] A. Mehler, “Aspects of Text Mining. From Computational Semiotics to Systemic Functional Hypertexts,” Australasian Journal of Information Systems (AJIS), vol. 8, iss. 2, pp. 129-141, 2001.
    [Abstract] [BibTeX]

    The significance of natural language texts as the                    prime information structure for the management and                    dissemination of knowledge in organisations is still                    increasing. Making relevant documents available                    depending on varying tasks in different contexts is of                    primary importance for any efficient task completion.                    Implementing this demand requires the content based                    processing of texts, which enables to reconstruct or,                    if necessary, to explore the relationship of task,                    context and document. Text mining is a technology that                    is suitable for solving problems of this kind. In the                    following, semiotic aspects of text mining are                    investigated. Based on the primary object of text                    mining - natural language lexis - the specific                    complexity of this class of signs is outlined and                    requirements for the implementation of text mining                    procedures are derived. This is done with reference to                    text linkage introduced as a special task in text                    mining. Text linkage refers to the exploration of                    implicit, content based relations of texts (and their                    annotation as typed links in corpora possibly organised                    as hypertexts). In this context, the term systemic                    functional hypertext is introduced, which distinguishes                    genre and register layers for the management of links                    in a poly-level hypertext system
    @Article{Mehler:2001:b,
      Author         = {Mehler, Alexander},
      Title          = {Aspects of Text Mining. From Computational Semiotics
                       to Systemic Functional Hypertexts},
      Journal        = {Australasian Journal of Information Systems (AJIS)},
      Volume         = {8},
      Number         = {2},
      Pages          = {129-141},
      abstract       = {The significance of natural language texts as the
                       prime information structure for the management and
                       dissemination of knowledge in organisations is still
                       increasing. Making relevant documents available
                       depending on varying tasks in different contexts is of
                       primary importance for any efficient task completion.
                       Implementing this demand requires the content based
                       processing of texts, which enables to reconstruct or,
                       if necessary, to explore the relationship of task,
                       context and document. Text mining is a technology that
                       is suitable for solving problems of this kind. In the
                       following, semiotic aspects of text mining are
                       investigated. Based on the primary object of text
                       mining - natural language lexis - the specific
                       complexity of this class of signs is outlined and
                       requirements for the implementation of text mining
                       procedures are derived. This is done with reference to
                       text linkage introduced as a special task in text
                       mining. Text linkage refers to the exploration of
                       implicit, content based relations of texts (and their
                       annotation as typed links in corpora possibly organised
                       as hypertexts). In this context, the term systemic
                       functional hypertext is introduced, which distinguishes
                       genre and register layers for the management of links
                       in a poly-level hypertext system},
      pdf            = {https://www.texttechnologylab.org/wp-content/uploads/2015/08/Mehler_AJIS-2001.pdf},
      website        = {http://journal.acs.org.au/index.php/ajis/article/view/249/220},
      year           = 2001
    }
  • A. Mehler, Textbedeutung. Zur prozeduralen Analyse und Repräsentation struktureller Ähnlichkeiten von Texten / Text Meaning – Procedural Analysis and Representation of Structural Similarities of Texts, Frankfurt a. M.: Peter Lang, 2001, vol. 5. Zugl. Diss. Univ. Trier
    [BibTeX]

    @Book{Mehler:2001:a,
      Author         = {Mehler, Alexander},
      Title          = {Textbedeutung. Zur prozeduralen Analyse und
                       Repr{\"a}sentation struktureller {\"A}hnlichkeiten von
                       Texten / Text Meaning – Procedural Analysis and
                       Representation of Structural Similarities of Texts},
      Publisher      = {Peter Lang},
      Volume         = {5},
      Series         = {Computer Studies in Language and Speech},
      Address        = {Frankfurt a. M.},
      Note           = {Zugl. Diss. Univ. Trier},
      image          = {https://www.texttechnologylab.org/wp-content/uploads/2015/09/38648_cover_front.jpg},
      pagetotal      = {401},
      website        = {https://www.peterlang.com/view/product/39259?tab=toc&format=PBK},
      year           = 2001
    }
  • A. Mehler and R. Clarke, “Systemic Functional Hypertexts (SFHT): Modeling Contexts in Hypertexts,” in Organizational Semiotics. Evolving a Science of Information Systems, K. Liu, R. J. Clarke, P. B. Andersen, and R. K. Stamper, Eds., Boston: Kluwer, 2001, pp. 153-170.
    [Abstract] [BibTeX]

    IFIP TC8 / WG8.1 Working Conference on Organizational                    Semiotics. July 23-25, 2001, Montreal, Canada
    @InCollection{Mehler:Clarke:2001,
      Author         = {Mehler, Alexander and Clarke, Rodney},
      Title          = {Systemic Functional Hypertexts (SFHT): Modeling
                       Contexts in Hypertexts},
      BookTitle      = {Organizational Semiotics. Evolving a Science of
                       Information Systems},
      Publisher      = {Kluwer},
      Editor         = {Liu, Kecheng and Clarke, Rodney J. and Andersen, Peter
                       B. and Stamper, Ronald K.},
      Pages          = {153-170},
      Address        = {Boston},
      abstract       = {IFIP TC8 / WG8.1 Working Conference on Organizational
                       Semiotics. July 23-25, 2001, Montreal, Canada},
      website        = {http://link.springer.com/chapter/10.1007/978-0-387-35611-2_10},
      year           = 2001
    }

1999 (2)

  • R. Clarke and A. Mehler, “Theorising Print Media in Contexts: A Systemic Semiotic Contribution to Computational Semiotics,” in Proceedings of the 7th International Congress of the IASS-AIS: International Association for Semiotic Studies – Sign Processes in Complex Systems, Dresden, University of Technology, October 6-11, 1999.
    [BibTeX]

    @InProceedings{Clarke:Mehler:1999,
      Author         = {Clarke, Rodney and Mehler, Alexander},
      Title          = {Theorising Print Media in Contexts: A Systemic
                       Semiotic Contribution to Computational Semiotics},
      BookTitle      = {Proceedings of the 7th International Congress of the
                       IASS-AIS: International Association for Semiotic
                       Studies – Sign Processes in Complex Systems, Dresden,
                       University of Technology, October 6-11},
      year           = 1999
    }
  • [PDF] A. Mehler, “Aspects of Text Semantics in Hypertext,” in Returning to our Diverse Roots. Proceedings of the 10th ACM Conference on Hypertext and Hypermedia (Hypertext ’99), February 21-25, 1999, Technische Universität Darmstadt, New York, 1999, pp. 25-26.
    [BibTeX]

    @InProceedings{Mehler:1999,
      Author         = {Mehler, Alexander},
      Title          = {Aspects of Text Semantics in Hypertext},
      BookTitle      = {Returning to our Diverse Roots. Proceedings of the
                       10th ACM Conference on Hypertext and Hypermedia
                       (Hypertext '99), February 21-25, 1999, Technische
                       Universit{\"a}t Darmstadt},
      Editor         = {Tochtermann, Klaus and Westbomke, Jörg and Wiil, Uffe
                       K. and Leggett, John J.},
      Pages          = {25-26},
      Address        = {New York},
      Publisher      = {ACM Press},
      pdf            = {{http://dl.acm.org/ft_gateway.cfm?id=294477&ftid=30049&dwn=1&CFID=722943569&CFTOKEN=97409508}},
      website        = {http://dl.acm.org/citation.cfm?id=294477},
      year           = 1999
    }

1998 (1)

  • A. Mehler, “Toward Computational Aspects of Text Semiotics,” in Proceedings of the 1998 Joint Conference of IEEE ISIC, IEEE CIRA, and ISAS on the Science and Technology of Intelligent Systems, September 14-17, 1998, NIST, Gaithersburg, USA, Gaithersburg, 1998, pp. 807-813.
    [BibTeX]

    @InProceedings{Mehler:1998,
      Author         = {Mehler, Alexander},
      Title          = {Toward Computational Aspects of Text Semiotics},
      BookTitle      = {Proceedings of the 1998 Joint Conference of IEEE ISIC,
                       IEEE CIRA, and ISAS on the Science and Technology of
                       Intelligent Systems, September 14-17, 1998, NIST,
                       Gaithersburg, USA},
      Editor         = {Albus, James and Meystel, Alex},
      Pages          = {807-813},
      Address        = {Gaithersburg},
      Publisher      = {IEEE},
      website        = {http://www.researchgate.net/publication/3766784_Toward_computational_aspects_of_text_semiotics},
      year           = 1998
    }

1996 (2)

  • A. Mehler, “A Multiresolutional Approach to Fuzzy Text Meaning,” Journal of Quantitative Linguistics, vol. 3, iss. 2, pp. 113-127, 1996.
    [Abstract] [BibTeX]

    In diesem Beitrag beschreiben wir den eHumanities                    Desktop3. Es handelt sich dabei um eine rein                    webbasierte Umgebung für die texttechnologische Arbeit                    mit Korpora, welche von der standardisierten                    Repräsentation textueller Einheiten über deren                    computerlinguistische Vorverarbeitung bis hin zu Text                    Mining–Funktionalitäten eine große Zahl von                    Werkzeugen integriert. Diese Integrationsleistung                    betrifft neben den Textkorpora und den hierauf                    operierenden texttechnologischen Werkzeugen auch die je                    zum Einsatz kommenden lexikalischen Ressourcen. Aus dem                    Blickwinkel der geisteswissenschaftlichen                    Fachinformatik gesprochen fokussiert der Desktop somit                    darauf, eine Vielzahl heterogener sprachlicher                    Ressourcen mit grundlegenden texttechnologischen                    Methoden zu integrieren, und zwar so, dass das                    Integrationsresultat auch in den Händen von                    Nicht–Texttechnologen handhabbar bleibt. Wir                    exemplifizieren diese Handhabung an einem Beispiel aus                    der historischen Semantik, und damit an einem Bereich,                    der erst in jüngerer Zeit durch die Texttechnologie                    erschlossen wird.
    @Article{Mehler:1996:b,
      Author         = {Mehler, Alexander},
      Title          = {A Multiresolutional Approach to Fuzzy Text Meaning},
      Journal        = {Journal of Quantitative Linguistics},
      Volume         = {3},
      Number         = {2},
      Pages          = {113-127},
      abstract       = {In diesem Beitrag beschreiben wir den eHumanities
                       Desktop3. Es handelt sich dabei um eine rein
                       webbasierte Umgebung für die texttechnologische Arbeit
                       mit Korpora, welche von der standardisierten
                       Repr{\"a}sentation textueller Einheiten über deren
                       computerlinguistische Vorverarbeitung bis hin zu Text
                       Mining–Funktionalit{\"a}ten eine gro{\ss}e Zahl von
                       Werkzeugen integriert. Diese Integrationsleistung
                       betrifft neben den Textkorpora und den hierauf
                       operierenden texttechnologischen Werkzeugen auch die je
                       zum Einsatz kommenden lexikalischen Ressourcen. Aus dem
                       Blickwinkel der geisteswissenschaftlichen
                       Fachinformatik gesprochen fokussiert der Desktop somit
                       darauf, eine Vielzahl heterogener sprachlicher
                       Ressourcen mit grundlegenden texttechnologischen
                       Methoden zu integrieren, und zwar so, dass das
                       Integrationsresultat auch in den H{\"a}nden von
                       Nicht–Texttechnologen handhabbar bleibt. Wir
                       exemplifizieren diese Handhabung an einem Beispiel aus
                       der historischen Semantik, und damit an einem Bereich,
                       der erst in jüngerer Zeit durch die Texttechnologie
                       erschlossen wird.},
      year           = 1996
    }
  • A. Mehler, “A Multiresolutional Approach to Fuzzy Text Meaning — a First Attempt,” in Proceedings of the 1996 International Multidisciplinary Conference on Intelligent Systems: A Semiotic Perspective, Gaithersburg, Maryland, October 20-23, Gaithersburg, 1996, pp. 261-273.
    [BibTeX]

    @InProceedings{Mehler:1996:a,
      Author         = {Mehler, Alexander},
      Title          = {A Multiresolutional Approach to Fuzzy Text Meaning --
                       a First Attempt},
      BookTitle      = {Proceedings of the 1996 International
                       Multidisciplinary Conference on Intelligent Systems: A
                       Semiotic Perspective, Gaithersburg, Maryland, October
                       20-23},
      Editor         = {Albus, James and Meystel, Alex and Quintero, Richard},
      Volume         = {I},
      Pages          = {261-273},
      Address        = {Gaithersburg},
      Publisher      = {National Institute of Standards and Technology (NIST)},
      year           = 1996
    }

Please see my projects page.

Please see my current classes and seminars.

Master thesis
2014
Human Computation am Beispiel der Stolperwege App
Type Master thesis
Date of submission July 28, 2014
Author Frohm, Konrad
Supervisor Alexander Mehler
Datenbanktechnologien für die Stolperwege App
Type Master thesis
Date of submission July 28, 2014
Author Bronder, Benjamin
Supervisor Alexander Mehler
Explicit Semantic Analysis based on Support Vector Machines by example of Automatic Disambiguation
Type Master thesis
Date of submission September 18, 2014
Author Creech, Brandin
Supervisor Alexander Mehler
Multidimensional Visualization of Text Structures for Text Mining
Type Master thesis
Date of submission November, 17, 2014
Author Hemati, Abdul
Supervisor Alexander Mehler
Multidimensional Visualization of Text Structures for Text Mining
Type Master thesis
Date of submission June 5, 2014
Author Uslu, Tolga
Supervisor Alexander Mehler
2012
Texttechnologische Repräsentation und Deidentifikation von Arzt-Patient-Dialogen
Type Master thesis
Date of submission September 20, 2012
Author Kurus, Neslihan
Supervisor Alexander Mehler
Bachelor thesis
2014
Text visualization für die Traversierung von Texträumen
Type Bachelor thesis
Date of submission March 3, 2014
Author Hoxha, Neritan
Supervisor Alexander Mehler
Ensemble-Classifier für die Autorenschaftsklassifikation
Type Bachelor thesis
Date of submission May 5, 2014
Author Röhrl, Benjamin
Supervisor Alexander Mehler
Extraktion von Synonymen aus der Wikipedia
Type Bachelor thesis
Date of submission March 31, 2014
Author Kastrati, Liridon
Supervisor Alexander Mehler
Visualisierung von Propositionen in WikiNect
Type Bachelor thesis
Date of submission October 13, 2014
Author Voinea, Sebastian
Supervisor Alexander Mehler
2013
WikiNect – bewegungsunterstützte Texttechnologien
Type Bachelor thesis
Date of submission June 3, 2013
Author Inceoglu, Mehmet Rasim
Supervisor Alexander Mehler
2012
Induktion eines lexikalischen Netzwerks für das Chinesische
Type Bachelor thesis
Date of submission January 23, 2012
Author Wang, Xiaoyi
Supervisor Alexander Mehler
Spam detection in Wikis
Type Bachelor thesis
Date of submission August 27, 2012
Author
Supervisor Alexander Mehler
Dissertation
Reviewed/Supervised Dissertations
Dr. Olga Abramov Bielefeld University
Prof. Dr. Matthias Dehmer TU Darmstadt (second referee)
Dr. Gregor Heinrich Leipzig University (second referee)
Dr. Jan Frederik Maas Bielefeld University (second referee)
Dr. Robert Remus Leipzig University (second referee)
Dr. Konstantin Todorov Osnabrück University (second referee)
Dr. Thorsten Trippel Bielefeld University (second referee)
Dr. Ulli Waltinger Bielefeld University
Dr. Akmal Saeed Khattak Leipzig University (second referee)
Dr. Zahurul Islam Goethe University Frankfurt am Main
Diploma thesis
2013
Kernels für die automatische Disambiguierung mit Hilfe von GermaNet
Type Diploma thesis
Date of submission September 26, 2013
Author Rohler, Jens
Supervisor Alexander Mehler
Kollaborationsmessung am Beispiel der Wikipedia: Modelle, Verfahren und Werkzeuge
Type Diploma thesis
Date of submission September 26, 2013
Author Zochowski, Margarete
Supervisor Alexander Mehler
Document classification with nearest neighbor
Type Diploma thesis
Date of submission September 30, 2013
Author Tinz, Sebastian
Supervisor Alexander Mehler
Multi-word units (MWU) extraction
Type Diploma thesis
Date of submission September 30, 2013
Author Panic, Viktor
Supervisor Alexander Mehler
2012
Von der sozialen zur formalen Ontologie: zur Abbildung des Kategoriensystems der Wikipedia auf die SUMO
Type Diploma thesis
Date of submission September 20, 2012
Author Savostiyanova, Yulia
Supervisor Alexander Mehler
Ontologische und datenbanktechnologische Modellierung von Toponomen
Type Diploma thesis
Date of submission June 12, 2012
Author Kilic, Selvi
Supervisor Alexander Mehler
Datenbanktechnologische Repräsentation und automatische Klassifikation unbekannter Wortformen in online-Medien am Beispiel von Wikipedia
Type Diploma thesis
Date of submission June 12, 2012
Author Thieme, Kristina
Supervisor Alexander Mehler
Extending explicit semantic analysis for measuring semantic similarity of words and texts
Type Diploma thesis
Date of submission October 23, 2012
Author Stoev, Ivaylo
Supervisor Alexander Mehler