Publication

New publication accepted at DHd 2025

The following publication was accepted at the DHd 2025 in Bielefeld, Germany (03. – 07.03.2025).

DUUI: A Toolbox for the Construction of a new Kind of Natural Language Processing

Giuseppe Abrami, Daniel Baumartz and Alexander Mehler. 2025. DUUI: A Toolbox for the Construction of a new Kind of Natural Language Processing. Proceedings of the DHd 2025: Under Construction. Geisteswissenschaften und Data Humanities, 446–448.
BibTeX 
@inproceedings{Abrami:et:al:2025:b,
  author    = {Abrami, Giuseppe and Baumartz, Daniel and Mehler, Alexander},
  title     = {DUUI: A Toolbox for the Construction of a new Kind of Natural
               Language Processing},
  year      = {2025},
  booktitle = {Proceedings of the DHd 2025: Under Construction. Geisteswissenschaften
               und Data Humanities},
  numpages  = {3},
  location  = {Bielefeld, Germany},
  series    = {DHd 2025},
  publisher = {Zenodo},
  keywords  = {duui,core,core_c08},
  pages     = {446--448},
  doi       = {10.5281/zenodo.14943128},
  url       = {https://doi.org/10.5281/zenodo.14943128},
  poster    = {https://zenodo.org/records/14944575}
}

New publications published in the special issue New Review of Hypermedia and Multimedia

The following publications have been published in the special issue New Review of Hypermedia and Multimedia:

Viki LibraRy: Collaborative Hypertext Browsing and Navigation in Virtual Reality

Failed to render single BibTeX entry by cite key

BibTeX Server Error
No matching entry for cite key Boenisch:et:al:2024:b

Geo-spatial Hypertext in Virtual Reality: Mapping and Navigating Global News Event Spaces

Failed to render single BibTeX entry by cite key

BibTeX Server Error
No matching entry for cite key Schrottenbacher:et:al:2024

Two new papers at SemDial 2024 — TrentoLogue

The Semantics and Pragmatics of Dialogue, September 11th – 12th, 2024

On gesture semantics:

Andy Lücking, Alexander Mehler and Alexander Henlein. 2024. The Linguistic Interpretation of Non-emblematic Gestures Must be agreed in Dialogue: Combining Perceptual Classifiers and Grounding/Clarification Mechanisms. Proceedings of the 28th Workshop on The Semantics and Pragmatics of Dialogue.
BibTeX 
@inproceedings{Luecking:Mehler:Henlein:2024-classifier,
  title     = {The Linguistic Interpretation of Non-emblematic Gestures Must
               be agreed in Dialogue: Combining Perceptual Classifiers and Grounding/Clarification
               Mechanisms},
  author    = {Lücking, Andy and Mehler, Alexander and Henlein, Alexander},
  year      = {2024},
  booktitle = {Proceedings of the 28th Workshop on The Semantics and Pragmatics of Dialogue},
  series    = {SemDial'24 -- TrentoLogue},
  location  = {Università di Trento, Palazzo Piomarta, Rovereto},
  url       = {https://www.semdial.org/anthology/papers/Z/Z24/Z24-4031/},
  pdf       = {http://semdial.org/anthology/Z24-Lucking_semdial_0031.pdf},
  keywords  = {gemdis}
}

On brain-based semantics:

Jonathan Ginzburg, Chris Eliasmith and Andy Lücking. 2024. Swann's name: Towards a Dialogical Brain Semantics. Proceedings of the 28th Workshop on The Semantics and Pragmatics of Dialogue.
BibTeX 
@inproceedings{Ginzburg:Eliasmith:Luecking:2024-swann,
  title     = {Swann's name: {Towards} a Dialogical Brain Semantics},
  author    = {Ginzburg, Jonathan and Eliasmith, Chris and Lücking, Andy},
  year      = {2024},
  booktitle = {Proceedings of the 28th Workshop on The Semantics and Pragmatics of Dialogue},
  series    = {SemDial'24 -- TrentoLogue},
  location  = {Università di Trento, Palazzo Piomarta, Rovereto},
  url       = {https://www.semdial.org/anthology/papers/Z/Z24/Z24-3007/},
  pdf       = {http://semdial.org/anthology/Z24-Ginzburg_semdial_0007.pdf}
}

New Publication Accepted for the 2nd Workshop on Legal Information Retrieval meets AI (LIRAI24)

Our paper, “Finding Needles in Emb(a)dding Haystacks: Legal Document Retrieval via Bagging and SVR Ensembles,” has been accepted to the 2nd Workshop on Legal Information Retrieval Meets AI. In this work, we present an approach that leverages embedding spaces, bootstrap aggregation, and SVR ensembles to retrieve legal passages efficiently, demonstrating improved recall compared to baseline methods (0.849 > 0.803 | 0.829):

Kevin Bönisch and Alexander Mehler. 2024. Finding Needles in Emb(a)dding Haystacks: Legal Document Retrieval via Bagging and SVR Ensembles. Proceedings of the 2nd Legal Information Retrieval meets Artificial Intelligence Workshop LIRAI 2024.
BibTeX 
@inproceedings{Boenisch:Mehler:2024,
  title     = {Finding Needles in Emb(a)dding Haystacks: Legal Document Retrieval
               via Bagging and SVR Ensembles},
  author    = {B\"{o}nisch, Kevin and Mehler, Alexander},
  year      = {2024},
  booktitle = {Proceedings of the 2nd Legal Information Retrieval meets Artificial
               Intelligence Workshop LIRAI 2024},
  location  = {Poznan, Poland},
  publisher = {CEUR-WS.org},
  address   = {Aachen, Germany},
  series    = {CEUR Workshop Proceedings},
  abstract  = {We introduce a retrieval approach leveraging Support Vector Regression
               (SVR) ensembles, bootstrap aggregation (bagging), and embedding
               spaces on the German Dataset for Legal Information Retrieval (GerDaLIR).
               By conceptualizing the retrieval task in terms of multiple binary
               needle-in-a-haystack subtasks, we show improved recall over the
               baselines (0.849 > 0.803 | 0.829) using our voting ensemble, suggesting
               promising initial results, without training or fine-tuning any
               deep learning models. Our approach holds potential for further
               enhancement, particularly through refining the encoding models
               and optimizing hyperparameters.},
  archiveprefix = {arXiv},
  eprint    = {2501.05018},
  url       = {https://arxiv.org/pdf/2501.05018},
  keywords  = {legal information retrieval, support vector regression, word embeddings, bagging ensemble}
}