Abstract
This paper introduces EventNet-ITA, a large, multi-domain corpus annotated full-text with event frames for Italian. Moreover, we present and thoroughly evaluate an efficient multi-label sequence labeling approach for Frame Parsing. Covering a wide range of individual, social and historical phenomena, with more than 53,000 annotated sentences and over 200 modeled frames, EventNet-ITA constitutes the first systematic attempt to provide the Italian language with a publicly available resource for Frame Parsing of events, useful for a broad spectrum of research and application tasks. Our approach achieves a promising 0.9 strict F1-score for frame classification and 0.72 for frame element classification, on top of minimizing computational requirements. The annotated corpus and the frame parsing model are released under open license.- Anthology ID:
- 2024.latechclfl-1.9
- Volume:
- Proceedings of the 8th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (LaTeCH-CLfL 2024)
- Month:
- March
- Year:
- 2024
- Address:
- St. Julians, Malta
- Editors:
- Yuri Bizzoni, Stefania Degaetano-Ortlieb, Anna Kazantseva, Stan Szpakowicz
- Venues:
- LaTeCHCLfL | WS
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 77–90
- Language:
- URL:
- https://aclanthology.org/2024.latechclfl-1.9
- DOI:
- Cite (ACL):
- Marco Rovera. 2024. EventNet-ITA: Italian Frame Parsing for Events. In Proceedings of the 8th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (LaTeCH-CLfL 2024), pages 77–90, St. Julians, Malta. Association for Computational Linguistics.
- Cite (Informal):
- EventNet-ITA: Italian Frame Parsing for Events (Rovera, LaTeCHCLfL-WS 2024)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-3/2024.latechclfl-1.9.pdf