Abstract
Negation scope resolution is the process of detecting the negated part of a sentence. Unlike the syntax-based approach employed in previous research, state-of-the-art methods performed better without the explicit use of syntactic structure. This work revisits the syntax-based approach and re-evaluates the effectiveness of syntactic structure in negation scope resolution. We replace the parser utilized in the prior works with state-of-the-art parsers and modify the syntax-based heuristic rules. The experimental results demonstrate that the simple modifications enhance the performance of the prior syntax-based method to the same level as state-of-the-art end-to-end neural-based methods.- Anthology ID:
- 2023.starsem-1.3
- Volume:
- Proceedings of the 12th Joint Conference on Lexical and Computational Semantics (*SEM 2023)
- Month:
- July
- Year:
- 2023
- Address:
- Toronto, Canada
- Editors:
- Alexis Palmer, Jose Camacho-collados
- Venue:
- *SEM
- SIG:
- SIGLEX
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 18–23
- Language:
- URL:
- https://aclanthology.org/2023.starsem-1.3
- DOI:
- 10.18653/v1/2023.starsem-1.3
- Cite (ACL):
- Asahi Yoshida, Yoshihide Kato, and Shigeki Matsubara. 2023. Revisiting Syntax-Based Approach in Negation Scope Resolution. In Proceedings of the 12th Joint Conference on Lexical and Computational Semantics (*SEM 2023), pages 18–23, Toronto, Canada. Association for Computational Linguistics.
- Cite (Informal):
- Revisiting Syntax-Based Approach in Negation Scope Resolution (Yoshida et al., *SEM 2023)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-3/2023.starsem-1.3.pdf