TTLab – Text Technology Lab

The TTLab (Text Technology Lab), headed by Prof. Alexander Mehler, is part of the Department of Computer Science and Mathematics (Fachbereich Informatik und Mathematik) at the Goethe Universität in Frankfurt. It investigates formal, algorithmic models to deepen our understanding of information processing in the humanities. We examine diachronic, time-dependent as well as synchronic aspects of processing linguistic and non-linguistic, multimodal signs. The Lab works across several disciplines to bridge between computer science on the one hand and corpus-based research in the humanities on the other. To this end, we develop information models and algorithms for the analysis of texts, images, and other objects relevant to research in the humanities.

News

  • New publications accepted at Hypertext 2024

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    The following publications have been accepted at the Hypertext in Poznan, Poland.

    Measuring Group Creativity of Dialogic Interaction Systems by Means of Remote Entailment Analysis

    Daniel Baumartz, Maxim Konca, Alexander Mehler, Patrick Schrottenbacher and Dominik Braunheim. 2024. Measuring Group Creativity of Dialogic Interaction Systems by Means of Remote Entailment Analysis. Proceedings of the 35th ACM Conference on Hypertext and Social Media. accepted.
    BibTeX
    @inproceedings{Baumartz:et:al:2024,
      author    = {Baumartz, Daniel and Konca, Maxim and Mehler, Alexander and Schrottenbacher, Patrick
                   and Braunheim, Dominik},
      title     = {Measuring Group Creativity of Dialogic Interaction Systems by
                   Means of Remote Entailment Analysis},
      year      = {2024},
      publisher = {Association for Computing Machinery},
      address   = {New York, NY, USA},
      booktitle = {Proceedings of the 35th ACM Conference on Hypertext and Social Media},
      keywords  = {VaSiLiLab, virtual hypertext, virtual reality, virtual reality simulation, authoring system},
      location  = {Poznan, Poland},
      series    = {HT '24},
      note      = {accepted}
    }


    Towards dynamic event handling, environment modification and user feedback in VR-Simulations with the help of Va.Si.Li-Lab

    Giuseppe Abrami, Dominik Alexander Wontke, Gurpreet Singh and Alexander Mehler. 2024. Towards dynamic event handling, environment modification and user feedback in VR-Simulations with the help of Va.Si.Li-Lab. Proceedings of the 35th ACM Conference on Hypertext and Social Media. accepted.
    BibTeX
    @inproceedings{Abrami:et:al:2024:b,
      author    = {Abrami, Giuseppe and Wontke, Dominik Alexander and Singh, Gurpreet
                   and Mehler, Alexander},
      title     = {Towards dynamic event handling, environment modification and user
                   feedback in VR-Simulations with the help of Va.Si.Li-Lab},
      year      = {2024},
      publisher = {Association for Computing Machinery},
      address   = {New York, NY, USA},
      booktitle = {Proceedings of the 35th ACM Conference on Hypertext and Social Media},
      keywords  = {VaSiLiLab, virtual hypertext, virtual reality, virtual reality simulation, authoring system},
      location  = {Poznan, Poland},
      series    = {HT '24},
      note      = {accepted}
    }


    HyperCausal: Visualizing Causal Inference in 3D Hypertext

    Kevin Bönisch, Manuel Stoeckel and Alexander Mehler. 2024. HyperCausal: Visualizing Causal Inference in 3D Hypertext. Proceedings of the 35th ACM Conference on Hypertext and Social Media. accepted.
    BibTeX
    @inproceedings{Boenisch:et:al:2024,
      author    = {B\"{o}nisch, Kevin and Stoeckel, Manuel and Mehler, Alexander},
      abstract  = {We present HyperCausal, a 3D hypertext visualization framework
                   for exploring causal inference in generative Large Language Models
                   (LLMs). HyperCausal maps the generative processes of LLMs into
                   spatial hypertexts, where tokens are represented as nodes connected
                   by probability-weighted edges. The edges are weighted by the prediction
                   scores of next tokens, depending on the underlying language model.
                   HyperCausal facilitates navigation through the causal space of
                   the underlying LLM, allowing users to explore predicted word sequences
                   and their branching. Through comparative analysis of LLM parameters
                   such as token probabilities and search algorithms, HyperCausal
                   provides insight into model behavior and performance. Implemented
                   using the Hugging Face transformers library and Three.js, HyperCausal
                   ensures cross-platform accessibility to advance research in natural
                   language processing using concepts from hypertext research. We
                   demonstrate several use cases of HyperCausal and highlight the
                   potential for detecting hallucinations generated by LLMs using
                   this framework. The connection with hypertext research arises
                   from the fact that HyperCausal relies on user interaction to unfold
                   graphs with hierarchically appearing branching alternatives in
                   3D space. This approach refers to spatial hypertexts and early
                   concepts of hierarchical hypertext structures. A third connection
                   concerns hypertext fiction, since the branching alternatives mediated
                   by HyperCausal manifest non-linearly organized reading threads
                   along artificially generated texts that the user decides to follow
                   optionally depending on the reading context.},
      title     = {HyperCausal: Visualizing Causal Inference in 3D Hypertext},
      year      = {2024},
      publisher = {Association for Computing Machinery},
      address   = {New York, NY, USA},
      booktitle = {Proceedings of the 35th ACM Conference on Hypertext and Social Media},
      keywords  = {3D hypertext, large language models, visualization},
      location  = {Poznan, Poland},
      series    = {HT '24},
      note      = {accepted}
    }
  • Two presentations at MMSYM 2024

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    Alexander Mehler, Alexander Henlein and Andy Lücking will present work on “Virtually Restricting Modalities in Interactions: Va.Si.Li-Lab for Experimental Multimodal Research” and on “The Gesture–Prosody Link in Multimodal Grammar” at MMSYM 2024.

  • Presentation at the ICL 2024

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    Andy Lücking and Jonathan Ginzburg (Université Paris Cité) will present their work on multimodal clarification interaction at the 21st International Congress of Linguists (ICL). ICL is organized only once every five years and is the meeting place par excellence for international linguistics.

    The presentation extends work on verbal repair and explores the potential for multimodal clarification by proposing constructions that enable formal descriptions.

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Open Positions

  • Open Position (E8, part-time): Administrative Employee

    At the Institute of Computer Science (Prof. Dr. Alexander Mehler, TTLab, https://www.texttechnologylab.org/), Department of Computer Science and Mathematics at Goethe University Frankfurt, one permanent position for a Administrative Employee (m/f/d) (E 8 TV-G-U, 50% part-time) is available at the next possible date. The salary group classification is based on the job characteristics determined by the […]

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  • Student tutors for the “Programming Practical Course (PPR)” (winter semester 24 / 25)

    The Institute of Computer Science is recruiting tutors for the winter semester 2024 / 2025 to assist in various courses. The chair of Computational Humanities / Text Technology is responsible for the basic course “Programming Practical Course (PPR)” and we are particularly looking for students who have already passed the programming practical course. There are […]

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See also: open positions on the Goethe University website (German).