Mevlüt Bagci

Total: 4

2023 (3)

• A. Henlein, A. Lücking, M. Bagci, and A. Mehler, “Towards grounding multimodal semantics in interaction data with Va.Si.Li-Lab,” in Proceedings of the 8th Conference on Gesture and Speech in Interaction (GESPIN), 2023. accepted
  [BibTeX]

  @inproceedings{Henlein:et:al:2023c,
    title     = {Towards grounding multimodal semantics in interaction data with Va.Si.Li-Lab},
    author    = {Henlein, Alexander and Lücking, Andy and Bagci, Mevlüt and Mehler, Alexander},
    booktitle = {Proceedings of the 8th Conference on Gesture and Speech in Interaction (GESPIN)},
    location  = {Nijmegen, Netherlands},
    year      = {2023},
    note      = {accepted}
  }

• G. Abrami, A. Mehler, M. Bagci, P. Schrottenbacher, A. Henlein, C. Spiekermann, J. Engel, and J. Schreiber, “Va.Si.Li-Lab as a Collaborative Multi-User Annotation Tool in Virtual Reality and Its Potential Fields of Application,” in Proceedings of the 34th ACM Conference on Hypertext and Social Media, New York, NY, USA, 2023.
  [Abstract] [BibTeX]

  During the last thirty years a variety of hypertext approaches and virtual environments -- some virtual hypertext environments -- have been developed and discussed. Although the development of virtual and augmented reality technologies is rapid and improving, and many technologies can be used at affordable conditions, their usability for hypertext systems has not yet been explored. At the same time, even for virtual three-dimensional virtual and augmented environments, there is no generally accepted concept that is similar or nearly as elegant as hypertext. This gap will have to be filled in the next years and a good concept should be developed; in this article we aim to contribute in this direction and also introduce a prototype for a possible implementation of criteria for virtual hypertext simulations.

  @inproceedings{Abrami:et:al:2023,
  author = {Abrami, Giuseppe and Mehler, Alexander and Bagci, Mevl\"{u}t and Schrottenbacher, Patrick and Henlein, Alexander and Spiekermann, Christian and Engel, Juliane and Schreiber, Jakob},
  title = {Va.Si.Li-Lab as a Collaborative Multi-User Annotation Tool in Virtual Reality and Its Potential Fields of Application},
  year = {2023},
  isbn = {9798400702327},
  publisher = {Association for Computing Machinery},
  address = {New York, NY, USA},
  url = {https://doi.org/10.1145/3603163.3609076},
  doi = {10.1145/3603163.3609076},
  abstract = {During the last thirty years a variety of hypertext approaches and virtual environments -- some virtual hypertext environments -- have been developed and discussed. Although the development of virtual and augmented reality technologies is rapid and improving, and many technologies can be used at affordable conditions, their usability for hypertext systems has not yet been explored. At the same time, even for virtual three-dimensional virtual and augmented environments, there is no generally accepted concept that is similar or nearly as elegant as hypertext. This gap will have to be filled in the next years and a good concept should be developed; in this article we aim to contribute in this direction and also introduce a prototype for a possible implementation of criteria for virtual hypertext simulations.},
  booktitle = {Proceedings of the 34th ACM Conference on Hypertext and Social Media},
  articleno = {22},
  numpages = {9},
  keywords = {virtual hypertext, virtual reality, virtual reality simulation, authoring system},
  location = {Rome, Italy},
  series = {HT '23},
  pdf = {https://dl.acm.org/doi/pdf/10.1145/3603163.3609076}
  }

• A. Mehler, M. Bagci, A. Henlein, G. Abrami, C. Spiekermann, P. Schrottenbacher, M. Konca, A. Lücking, J. Engel, M. Quintino, J. Schreiber, K. Saukel, and O. Zlatkin-Troitschanskaia, “A Multimodal Data Model for Simulation-Based Learning with Va.Si.Li-Lab,” in Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management, Cham, 2023, pp. 539-565.
  [Abstract] [BibTeX]

  Simulation-based learning is a method in which learners learn to master real-life scenarios and tasks from simulated application contexts. It is particularly suitable for the use of VR technologies, as these allow immersive experiences of the targeted scenarios. VR methods are also relevant for studies on online learning, especially in groups, as they provide access to a variety of multimodal learning and interaction data. However, VR leads to a trade-off between technological conditions of the observability of such data and the openness of learner behavior. We present Va.Si.Li-Lab, a VR-L ab for Simulation-based Learn ing developed to address this trade-off. Va.Si.Li-Lab uses a graph-theoretical model based on hypergraphs to represent the data diversity of multimodal learning and interaction. We develop this data model in relation to mono- and multimodal, intra- and interpersonal data and interleave it with ISO-Space to describe distributed multiple documents from the perspective of their interactive generation. The paper adds three use cases to motivate the broad applicability of Va.Si.Li-Lab and its data model.

  @inproceedings{Mehler:et:al:2023:a,
    abstract = {Simulation-based learning is a method in which learners learn to master real-life scenarios and tasks from simulated application contexts. It is particularly suitable for the use of VR technologies, as these allow immersive experiences of the targeted scenarios. VR methods are also relevant for studies on online learning, especially in groups, as they provide access to a variety of multimodal learning and interaction data. However, VR leads to a trade-off between technological conditions of the observability of such data and the openness of learner behavior. We present Va.Si.Li-Lab, a VR-L ab for Simulation-based Learn ing developed to address this trade-off. Va.Si.Li-Lab uses a graph-theoretical model based on hypergraphs to represent the data diversity of multimodal learning and interaction. We develop this data model in relation to mono- and multimodal, intra- and interpersonal data and interleave it with ISO-Space to describe distributed multiple documents from the perspective of their interactive generation. The paper adds three use cases to motivate the broad applicability of Va.Si.Li-Lab and its data model.},
    address = {Cham},
    author = {Mehler, Alexander and Bagci, Mevl{\"u}t and Henlein, Alexander and Abrami, Giuseppe and Spiekermann, Christian and Schrottenbacher, Patrick and Konca, Maxim and L{\"u}cking, Andy and Engel, Juliane and Quintino, Marc and Schreiber, Jakob and Saukel, Kevin and Zlatkin-Troitschanskaia, Olga},
    booktitle = {Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management},
    editor = {Duffy, Vincent G.},
    isbn = {978-3-031-35741-1},
    pages = {539--565},
    publisher = {Springer Nature Switzerland},
    title = {A Multimodal Data Model for Simulation-Based Learning with Va.Si.Li-Lab},
    year = {2023}
  }

2022 (1)

• G. Abrami, M. Bagci, L. Hammerla, and A. Mehler, “German Parliamentary Corpus (GerParCor),” in Proceedings of the Language Resources and Evaluation Conference, Marseille, France, 2022, pp. 1900-1906.
  [Abstract] [Poster][BibTeX]

  Parliamentary debates represent a large and partly unexploited treasure trove of publicly accessible texts. In the German-speaking area, there is a certain deficit of uniformly accessible and annotated corpora covering all German-speaking parliaments at the national and federal level. To address this gap, we introduce the German Parliamentary Corpus (GerParCor). GerParCor is a genre-specific corpus of (predominantly historical) German-language parliamentary protocols from three centuries and four countries, including state and federal level data. In addition, GerParCor contains conversions of scanned protocols and, in particular, of protocols in Fraktur converted via an OCR process based on Tesseract. All protocols were preprocessed by means of the NLP pipeline of spaCy3 and automatically annotated with metadata regarding their session date. GerParCor is made available in the XMI format of the UIMA project. In this way, GerParCor can be used as a large corpus of historical texts in the field of political communication for various tasks in NLP.

  @InProceedings{Abrami:Bagci:Hammerla:Mehler:2022,
    author    = {Abrami, Giuseppe  and  Bagci, Mevlüt  and  Hammerla, Leon  and  Mehler, Alexander},
    title     = {German Parliamentary Corpus (GerParCor)},
    booktitle      = {Proceedings of the Language Resources and Evaluation Conference},
    month          = {June},
    year           = {2022},
    address        = {Marseille, France},
    publisher      = {European Language Resources Association},
    pages     = {1900--1906},
    abstract  = {Parliamentary debates represent a large and partly unexploited treasure trove of publicly accessible texts. In the German-speaking area, there is a certain deficit of uniformly accessible and annotated corpora covering all German-speaking parliaments at the national and federal level. To address this gap, we introduce the German Parliamentary Corpus (GerParCor). GerParCor is a genre-specific corpus of (predominantly historical) German-language parliamentary protocols from three centuries and four countries, including state and federal level data. In addition, GerParCor contains conversions of scanned protocols and, in particular, of protocols in Fraktur converted via an OCR process based on Tesseract. All protocols were preprocessed by means of the NLP pipeline of spaCy3 and automatically annotated with metadata regarding their session date. GerParCor is made available in the XMI format of the UIMA project. In this way, GerParCor can be used as a large corpus of historical texts in the field of political communication for various tasks in NLP.},
    poster   = {https://www.texttechnologylab.org/wp-content/uploads/2022/06/GerParCor_LREC_2022.pdf},
    pdf    = {http://www.lrec-conf.org/proceedings/lrec2022/pdf/2022.lrec-1.202.pdf}
  
  }