News

  • New Publication: Va.Si.Li-Lab in “Digitale Learning Designs”
    by Patrick Schrottenbacher

    We are pleased to announce the publication of our chapter “Va.Si.Li-Lab: A Virtual Reality Solution for Applications in the Field of Educational and Social Science Technologies” in the edited volume “Digitale Learning Designs für die Hochschullehre gemeinschaftlich entwickeln“. Which has been a result of the DigiTeLL Project.

    Patrick Schrottenbacher, Giuseppe Abrami, Mevlüt Bagci and Alexander Mehler.

    2026.

    Va.Si.Li-Lab: A Virtual Reality Solution for Applications in
    the Field of Educational and Social Science Technologies    .     Digitale Learning Designs für die Hochschullehre gemeinschaftlich
    entwickeln: Werkzeuge – Ressourcen – Szenarien    , 212–229.

    BibTeX 

    @incollection{Schrottenbacher:et:al:2026:b,
  author    = {Schrottenbacher, Patrick and Abrami, Giuseppe and Bagci, Mevl{\"u}t
               and Mehler, Alexander},
  title     = {{Va.Si.Li-Lab}: A Virtual Reality Solution for Applications in
               the Field of Educational and Social Science Technologies},
  booktitle = {Digitale Learning Designs f{\"u}r die Hochschullehre gemeinschaftlich
               entwickeln: Werkzeuge -- Ressourcen -- Szenarien},
  editor    = {Zeaiter, Sabrina and Stierwald, Mona},
  publisher = {Waxmann},
  year      = {2026},
  pages     = {212--229},
  doi       = {10.31244/9783818851170}
}

  • New publications at KONVENS 2026
    by Giuseppe Abrami

    We are pleased to inform you that the following papers have been accepted for presentation at KONVENS 2026, which will take place from September 14–17, 2026:

    Mevlüt Bagci, Ali Abusaleh, Daniel Baumartz, Alexander Mehler, Giuseppe Abrami and Maxim Konca.

    2026.

    Extending a Parliamentary Corpus with MPs’ Tweets:
    Automatic Annotation and Evaluation Using TTLABTWEETCORPUS    .     KONVENS 2026 – Context matters: NLP beyond Text.

    accepted.

    BibTeX 

    @inproceedings{bagci:et:al:2026,
  title     = {Extending a Parliamentary Corpus with {MP}s{\textquoteright} Tweets:
               Automatic Annotation and Evaluation Using {TTLABTWEETCORPUS}},
  author    = {Mevlüt Bagci and Ali Abusaleh and Daniel Baumartz and Alexander Mehler
               and Giuseppe Abrami and Maxim Konca},
  booktitle = {KONVENS 2026 - Context matters: NLP beyond Text},
  year      = {2026},
  address   = {Hamburg (Germany)},
  keywords  = {Corpora, Tweets, Political Data, Text, Media classification},
  note      = {accepted}
}

    Christoph Wigbels, Ali Abusaleh, Markus T. Jansen, Alexander Mehler, Manuel Schaaf and Markus J. Hofmann.

    2026.

    Individual Text Corpora Predict User-Specific Knowledge: Benchmarks
    of Individualized Knowledge Simulation    .     KONVENS 2026 – Context matters: NLP beyond Text.

    accepted.

    BibTeX 

    @inproceedings{Wigbels:et:al:2026:a,
  author    = {{Wigbels, Christoph and Abusaleh, Ali} and Jansen, Markus T. and Mehler, Alexander
               and Schaaf, Manuel and Hofmann, Markus J.},
  title     = {Individual Text Corpora Predict User-Specific Knowledge: Benchmarks
               of Individualized Knowledge Simulation},
  booktitle = {KONVENS 2026 - Context matters: NLP beyond Text},
  year      = {2026},
  address   = {Hamburg (Germany)},
  keywords  = {Individual Text Corpora, Retrieval-Augmented Generation, Personalized Language Models, Probabilistic Calibration, Knowledge Benchmarks, Data Contamination, German NLP, spp, circlet},
  note      = {accepted}
}

    Leon Hammerla, Bhuvanesh Verma and Alexander Mehler.

    2026.

    RT-Seg: A Toolkit for Reasoning Trace Segmentation. KONVENS 2026 – Context matters: NLP beyond Text.

    accepted.

    BibTeX 

    @inproceedings{Hammerla:etal:2026:c,
  title     = {RT-Seg: A Toolkit for Reasoning Trace Segmentation},
  author    = {Leon Hammerla and Bhuvanesh Verma and Alexander Mehler},
  booktitle = {KONVENS 2026 - Context matters: NLP beyond Text},
  year      = {2026},
  address   = {Hamburg (Germany)},
  keywords  = {neglab},
  note      = {accepted}
}