Publication

@inproceedings{Abrami:et:al:2025:c,
  author    = {Abrami, Giuseppe and Bundan, Daniel and Manolis, Chrisowaladis
               and Mehler, Alexander},
  title     = {VR-ParlExplorer: A Hypertext System for the Collaborative Interaction
               in Parliamentary Debate Spaces},
  year      = {2025},
  isbn      = {9798400715341},
  publisher = {Association for Computing Machinery},
  address   = {New York, NY, USA},
  url       = {https://doi.org/10.1145/3720553.3746672},
  doi       = {10.1145/3720553.3746672},
  abstract  = {The enhanced visualization and interaction with information in
               collaborative VR environments enabled by chatbots is currently
               rather limited. To fill this gap and create a concrete application
               that combines spatial and virtual concepts of hypertext systems
               based on the use of LLMs, we present VR-ParlExplorer as a system
               for virtualizing plenary debates that allows users to interact
               with virtual members of parliament through chatbots. VR-ParlExplorer
               is implemented as a Plugin for Va.Si.Li-Lab to enable immersion
               in the dynamics of communication in parliamentary debates. The
               paper describes the functionality of VR-ParlExplorer and discusses
               specifics of the use case it addresses.},
  booktitle = {Proceedings of the 36th ACM Conference on Hypertext and Social Media},
  pages     = {177--183},
  numpages  = {7},
  location  = {Chicago, USA},
  series    = {HT '25},
  pdf       = {https://dl.acm.org/doi/pdf/10.1145/3720553.3746672}
}

@inproceedings{Bundan:Abrami:Mehler:2025,
  author    = {Bundan, Daniel and Abrami, Giuseppe and Mehler, Alexander},
  title     = {Multimodal Docker Unified {UIMA} Interface: New Horizons for Distributed
               Microservice-Oriented Processing of Corpora using {UIMA}},
  booktitle = {Proceedings of the 21st Conference on Natural Language Processing
               (KONVENS 2025): Long and Short Papers},
  year      = {2025},
  editor    = {Wartena, Christian and Heid, Ulrich},
  location  = {Hildesheim, Germany},
  address   = {Hannover, Germany},
  publisher = {HsH Applied Academics},
  pages     = {257--268},
  series    = {KONVENS '25},
  url       = {https://aclanthology.org/2025.konvens-1.22/},
  pdf       = {https://aclanthology.org/2025.konvens-1.22.pdf},
  poster    = {https://www.texttechnologylab.org/wp-content/uploads/2025/09/Poster_Multimodal_DUUI_KONVENS_2025.pdf},
  keywords  = {duui,neglab,new-data-spaces,circlet}
}

@inproceedings{Momen:Schaaf:Mehler:2025,
  title     = {Filling the Temporal Void: Recovering Missing Publication Years
               in the Project Gutenberg Corpus Using {LLM}s},
  author    = {Momen, Omar and Schaaf, Manuel and Mehler, Alexander},
  editor    = {Che, Wanxiang and Nabende, Joyce and Shutova, Ekaterina and Pilehvar, Mohammad Taher},
  booktitle = {Findings of the Association for Computational Linguistics: ACL 2025},
  month     = {jul},
  year      = {2025},
  address   = {Vienna, Austria},
  publisher = {Association for Computational Linguistics},
  url       = {https://aclanthology.org/2025.findings-acl.890/},
  pages     = {17318--17334},
  isbn      = {979-8-89176-256-5},
  abstract  = {Analysing texts spanning long periods of time is critical for
               researchers in historical linguistics and related disciplines.
               However, publicly available corpora suitable for such analyses
               are scarce. The Project Gutenberg (PG) corpus presents a significant
               yet underutilized opportunity in this context, due to the absence
               of accurate temporal metadata. We take advantage of language models
               and information retrieval to explore four sources of information
               {--} Open Web, Wikipedia, Open Library API, and PG books texts
               {--} to add missing temporal metadata to the PG corpus. Through
               20 experiments employing state-of-the-art Large Language Models
               (LLMs) and Retrieval-Augmented Generation (RAG) methods, we estimate
               the production years of all PG books. We curate an enriched metadata
               repository for the PG corpus and propose a refined version for
               it, which includes 53,774 books with a total of 3.8 billion tokens
               in 11 languages, produced between 1600 and 2000. This work provides
               a new resource for computational linguistics and humanities studies
               focusing on diachronic analyses. The final dataset and all experiments
               data are publicly available (https://github.com/OmarMomen14/pg-dates).},
  pdf       = {https://aclanthology.org/2025.findings-acl.890.pdf}
}