Stammbach, Dominik
Education
Ph.D. Candidate in Natural Language Processing (ETH Zurich)
M. Sc. in Language Science and Technology (Saarland University)
B.A. in Computational Linguistics (University of Zurich)
Biography
Dominik Stammbach is a Ph.D. Student in the research team of Prof. Elliott Ash. He obtained an M.Sc. in Language Science and Technology from Saarland University and holds a B.A. in Computational Lingusistics from the University of Zurich.
Research Overview
Dominik conducts research on natural language understanding, automated fact checking, hate speech detection, and narrative extraction/mining, using deep learning methods.
Publications
- external pageRe-visiting Automated Topic Model Evaluation with Large Language Modelscall_made (with Vilém Zouhar, Alexander Hoyle, Mrinmaya Sachan & Elliott Ash), Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (forthcoming)
- external pageEnvironmental Claim Detectioncall_made (with Nicolas Webersinke, Julia Anna Bingler, Mathias Kraus & Markus Leippold), Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 1051–1066, 2023
- Political Metaphors in U.S. Governor Speeches (with Léo Picard), Center for Law & Economics Working Paper Series 13/2022, December 2022
- external pageDocSCAN: Unsupervised Text Classification via Learning from Neighborscall_made (with Elliott Ash), Proceedings of the 18th Conference on Natural Language Processing (KONVENS 2022), 21–28 (2022)
- external pageHeroes, Villains, and Victims, and GPT-3: Automated Extraction of Character Roles Without Training Datacall_made (with Maria Antoniak & Elliott Ash), Proceedings of the 4th Workshop of Narrative Understanding (WNU2022), 47–56 (2022)
- external pageEvidence Selection as a Token-Level Prediction Taskcall_made, Proceedings of the Fourth Workshop on Fact Extraction and VERification (FEVER), 14–20 (2021)
- The Choice of Knowledge Base in Automated Claim Checking (with Boya Zhang & Elliott Ash), Center for Law & Economics Working Paper Series 17/2021, November 2021
- Dimensions of Mind in Semantic Space (with Elliott Ash & Kevin Tobia), Center for Law & Economics Working Paper Series 14/2021, November 2021
- external pageLegal Language Modeling with Transformerscall_made (with Lazar Peric, Stefan Mijic & Elliott Ash), Proceedings of the 2020 Workshop on Automated Semantic Analysis of Information in Legal Text (ASAIL), CEUR-WS, Vol 2764 (2020)
- external pagee-FEVER: Explanations and Summaries for Automated Fact Checkingcall_made (with Elliott Ash), Proceedings of the 2020 Truth and Trust Online Conference (TTO 2020), 32–43 (2020)