News

Best Demo Award at NAACL 2025

We are delighted that our paper “Towards Unified, Dynamic, and Annotation-based Visualizations and Exploration of Annotated Big Data Corpora with the Help of Unified Corpus Explorer” has been awarded the Best Demo Paper at this year’s annual conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL 2025).

Kevin Bönisch, Giuseppe Abrami and Alexander Mehler. 2025. Towards Unified, Dynamic and Annotation-based Visualisations and Exploration of Annotated Big Data Corpora with the Help of Unified Corpus Explorer. Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (System Demonstrations), 522–534. Best Demo Award.
BibTeX 
@inproceedings{Boenisch:et:al:2025,
  title     = {Towards Unified, Dynamic and Annotation-based Visualisations and
               Exploration of Annotated Big Data Corpora with the Help of Unified
               Corpus Explorer},
  author    = {B{\"o}nisch, Kevin and Abrami, Giuseppe and Mehler, Alexander},
  editor    = {Dziri, Nouha and Ren, Sean (Xiang) and Diao, Shizhe},
  booktitle = {Proceedings of the 2025 Conference of the Nations of the Americas
               Chapter of the Association for Computational Linguistics: Human
               Language Technologies (System Demonstrations)},
  year      = {2025},
  address   = {Albuquerque, New Mexico},
  publisher = {Association for Computational Linguistics},
  url       = {https://aclanthology.org/2025.naacl-demo.42/},
  pages     = {522--534},
  isbn      = {979-8-89176-191-9},
  abstract  = {The annotation and exploration of large text corpora, both automatic
               and manual, presents significant challenges across multiple disciplines,
               including linguistics, digital humanities, biology, and legal
               science. These challenges are exacerbated by the heterogeneity
               of processing methods, which complicates corpus visualization,
               interaction, and integration. To address these issues, we introduce
               the Unified Corpus Explorer (UCE), a standardized, dockerized,
               open-source and dynamic Natural Language Processing (NLP) application
               designed for flexible and scalable corpus navigation. Herein,
               UCE utilizes the UIMA format for NLP annotations as a standardized
               input, constructing interfaces and features around those annotations
               while dynamically adapting to the corpora and their extracted
               annotations. We evaluate UCE based on a user study and demonstrate
               its versatility as a corpus explorer based on generative AI.},
  note      = {Best Demo Award},
  pdf       = {https://aclanthology.org/2025.naacl-demo.42.pdf}
}

New publication in the proceedings of “Sinn und Bedeutung” coming soon

Referential Transparency Theory (RTT) now also covers mass nouns!

The authors argue that much of the work on pluralities and mass nouns in in so-called modern semantic theories primarily seeks to mitigate the effects of mereotopological domains. They therefore abandon such domains in favor of the RTT system, extended by a novel quantitative semantic type Stuff. Crucial notions such as cumulative and divisive reference emerge naturally from this independently motivated setup. Rather idiosyncratic internal parthood relations of nominal expressions are appropriately captured in lexical entries.

Andy Lücking and Jonathan Ginzburg. 2025. Postmodern Quantification with Stuff. Proceedings of Sinn und Bedeutung, 29. Forthcoming.
BibTeX 
@inproceedings{Luecking:Ginzburg:2025-mass-nouns,
  title     = {Postmodern Quantification with Stuff},
  author    = {Lücking, Andy and Ginzburg, Jonathan},
  booktitle = {Proceedings of \textit{Sinn und Bedeutung}},
  volume    = {29},
  series    = {SuB'29},
  year      = {2025},
  pubstate  = {forthcoming},
  note      = {Forthcoming}
}

New publication accepted at NAACL 2025

Our paper, “Towards Unified, Dynamic, and Annotation-based Visualizations and Exploration of Annotated Big Data Corpora with the Help of Unified Corpus Explorer,” has been accepted to the Systems Demonstrations Track of the 2025 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2025).

In this paper, we present our open-source Unified Corpus Explorer (UCE)—a generic corpus explorer in the form of a web portal that takes UIMA-annotated data from any domain and dynamically builds itself around it. This results in an interactive corpus explorer with semantic search, visualizations, document reading capabilities, Wikidition hypertext generation, and chatbot integration.

Kevin Bönisch, Giuseppe Abrami and Alexander Mehler. 2025. Towards Unified, Dynamic and Annotation-based Visualisations and Exploration of Annotated Big Data Corpora with the Help of Unified Corpus Explorer. Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (System Demonstrations), 522–534. Best Demo Award.
BibTeX 
@inproceedings{Boenisch:et:al:2025,
  title     = {Towards Unified, Dynamic and Annotation-based Visualisations and
               Exploration of Annotated Big Data Corpora with the Help of Unified
               Corpus Explorer},
  author    = {B{\"o}nisch, Kevin and Abrami, Giuseppe and Mehler, Alexander},
  editor    = {Dziri, Nouha and Ren, Sean (Xiang) and Diao, Shizhe},
  booktitle = {Proceedings of the 2025 Conference of the Nations of the Americas
               Chapter of the Association for Computational Linguistics: Human
               Language Technologies (System Demonstrations)},
  year      = {2025},
  address   = {Albuquerque, New Mexico},
  publisher = {Association for Computational Linguistics},
  url       = {https://aclanthology.org/2025.naacl-demo.42/},
  pages     = {522--534},
  isbn      = {979-8-89176-191-9},
  abstract  = {The annotation and exploration of large text corpora, both automatic
               and manual, presents significant challenges across multiple disciplines,
               including linguistics, digital humanities, biology, and legal
               science. These challenges are exacerbated by the heterogeneity
               of processing methods, which complicates corpus visualization,
               interaction, and integration. To address these issues, we introduce
               the Unified Corpus Explorer (UCE), a standardized, dockerized,
               open-source and dynamic Natural Language Processing (NLP) application
               designed for flexible and scalable corpus navigation. Herein,
               UCE utilizes the UIMA format for NLP annotations as a standardized
               input, constructing interfaces and features around those annotations
               while dynamically adapting to the corpora and their extracted
               annotations. We evaluate UCE based on a user study and demonstrate
               its versatility as a corpus explorer based on generative AI.},
  note      = {Best Demo Award},
  pdf       = {https://aclanthology.org/2025.naacl-demo.42.pdf}
}