Publications

Matti Wiegmann, Jennifer Rakete, Magdalena Wolska, Benno Stein, and Martin Potthast. If there's a Trigger Warning, then where's the Trigger? Investigating Trigger Warnings at the Passage Level. arXiv, 2024. [PUMA: sciences, FOS: Computers sciences (cs.CY), Computation topic_language Society and Computer Language (cs.CL), information] URL

Melissa Sanabria, Jonas Hirsch, and Anna R Poetsch. The human genome's vocabulary as proposed by the DNA language model GROVER. bioRxiv, July 2023. [PUMA: language DNA Xack model GROVER]

Jens Lehmann, Sébastien Ferré, and Sahar Vahdati. Language Models as Controlled Natural Language Semantic Parsers for Knowledge Graph Question Answering. In Kobi Gal, Ann Nowé, Grzegorz J. Nalepa, Roy Fairstein, and Roxana Radulescu (Eds.), ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland - Including 12th Conference on Prestigious Applications of Intelligent Systems (PAIS 2023), (372):1348--1356, IOS Press, 2023. [PUMA: Graph Answering Semantic Parsers Models Question Language Natural Controlled Knowledge] URL

Md Rashad Al Hasan Rony, Liubov Kovriguina, Debanjan Chaudhuri, Ricardo Usbeck, and Jens Lehmann. RoMe: A Robust Metric for Evaluating Natural Language Generation. In Smaranda Muresan, Preslav Nakov, and Aline Villavicencio (Eds.), Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 5645--5657, Association for Computational Linguistics, Dublin, Ireland, May 2022. [PUMA: Metric Robust Evaluating Xack Language Generation Natural] URL

Neringa Jurenaite, Daniel Leon-Perinan, Veronika Donath, Sunna Torge, and Rene Jakel. SetQuence & SetOmic: Deep Set Transformer-based Representations of Cancer Multi-Omics. 2022 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2022, 139--147, IEEE, New York u. a., United States of America, 2022. [PUMA: FIS_scads Set processing, gene expression, natural language molecular livinglab genome, Deep sequence topic_federatedlearn multi-omics, mutome, Representations analysis, Network, Neural]