Abstract
In this paper, we present approaches for the automated extraction and disambiguation of a part of the stylistic device Vossian Antonomasia (VA), namely the target entity that is described by the expression. We model the problem as a coreference resolution task and a question answering task and also combine both tasks. To tackle these tasks, we utilize state-of-the-art models in these areas. In addition, we visualize the connection between the source and target entities of VA in a web demo to get a deeper understanding of the interaction of entities used in VA expressions.- Anthology ID:
- 2023.latechclfl-1.12
- Volume:
- Proceedings of the 7th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature
- Month:
- May
- Year:
- 2023
- Address:
- Dubrovnik, Croatia
- Editors:
- Stefania Degaetano-Ortlieb, Anna Kazantseva, Nils Reiter, Stan Szpakowicz
- Venue:
- LaTeCHCLfL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 110–115
- Language:
- URL:
- https://aclanthology.org/2023.latechclfl-1.12
- DOI:
- 10.18653/v1/2023.latechclfl-1.12
- Cite (ACL):
- Michel Schwab, Robert Jäschke, and Frank Fischer. 2023. “Who is the Madonna of Italian-American Literature?”: Target Entity Extraction and Analysis of Vossian Antonomasia. In Proceedings of the 7th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, pages 110–115, Dubrovnik, Croatia. Association for Computational Linguistics.
- Cite (Informal):
- “Who is the Madonna of Italian-American Literature?”: Target Entity Extraction and Analysis of Vossian Antonomasia (Schwab et al., LaTeCHCLfL 2023)
- PDF:
- https://preview.aclanthology.org/ingest-bitext-workshop/2023.latechclfl-1.12.pdf