Abstract
Lexical features are a major source of information in state-of-the-art coreference resolvers. Lexical features implicitly model some of the linguistic phenomena at a fine granularity level. They are especially useful for representing the context of mentions. In this paper we investigate a drawback of using many lexical features in state-of-the-art coreference resolvers. We show that if coreference resolvers mainly rely on lexical features, they can hardly generalize to unseen domains. Furthermore, we show that the current coreference resolution evaluation is clearly flawed by only evaluating on a specific split of a specific dataset in which there is a notable overlap between the training, development and test sets.- Anthology ID:
- P17-2003
- Volume:
- Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
- Month:
- July
- Year:
- 2017
- Address:
- Vancouver, Canada
- Editors:
- Regina Barzilay, Min-Yen Kan
- Venue:
- ACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 14–19
- Language:
- URL:
- https://aclanthology.org/P17-2003
- DOI:
- 10.18653/v1/P17-2003
- Cite (ACL):
- Nafise Sadat Moosavi and Michael Strube. 2017. Lexical Features in Coreference Resolution: To be Used With Caution. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 14–19, Vancouver, Canada. Association for Computational Linguistics.
- Cite (Informal):
- Lexical Features in Coreference Resolution: To be Used With Caution (Moosavi & Strube, ACL 2017)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-4/P17-2003.pdf
- Data
- WikiCoref