Abstract
In this paper, we introduce the first corpus specifying negative entities within sentences. We discuss indicators for their presence, namely particular verbs, but also the linguistic conditions when their prediction should be suppressed. We further show that a fine-tuned Bert-based baseline model outperforms an over-generating rule-based approach which is not aware of these further restrictions. If a perfect filter were applied, both would be on par.- Anthology ID:
- 2021.nodalida-main.49
- Volume:
- Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa)
- Month:
- May 31--2 June
- Year:
- 2021
- Address:
- Reykjavik, Iceland (Online)
- Editors:
- Simon Dobnik, Lilja Øvrelid
- Venue:
- NoDaLiDa
- SIG:
- Publisher:
- Linköping University Electronic Press, Sweden
- Note:
- Pages:
- 435–439
- Language:
- URL:
- https://aclanthology.org/2021.nodalida-main.49
- DOI:
- Cite (ACL):
- Manfred Klenner, Anne Göhring, and Sophia Conrad. 2021. Getting Hold of Villains and other Rogues. In Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa), pages 435–439, Reykjavik, Iceland (Online). Linköping University Electronic Press, Sweden.
- Cite (Informal):
- Getting Hold of Villains and other Rogues (Klenner et al., NoDaLiDa 2021)
- PDF:
- https://preview.aclanthology.org/revert-3132-ingestion-checklist/2021.nodalida-main.49.pdf