Abstract
Selectional preferences have long been claimed to be essential for coreference resolution. However, they are modeled only implicitly by current coreference resolvers. We propose a dependency-based embedding model of selectional preferences which allows fine-grained compatibility judgments with high coverage. Incorporating our model improves performance, matching state-of-the-art results of a more complex system. However, it comes with a cost that makes it debatable how worthwhile are such improvements.- Anthology ID:
- D17-1138
- Volume:
- Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
- Month:
- September
- Year:
- 2017
- Address:
- Copenhagen, Denmark
- Editors:
- Martha Palmer, Rebecca Hwa, Sebastian Riedel
- Venue:
- EMNLP
- SIG:
- SIGDAT
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 1332–1339
- Language:
- URL:
- https://aclanthology.org/D17-1138
- DOI:
- 10.18653/v1/D17-1138
- Cite (ACL):
- Benjamin Heinzerling, Nafise Sadat Moosavi, and Michael Strube. 2017. Revisiting Selectional Preferences for Coreference Resolution. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, pages 1332–1339, Copenhagen, Denmark. Association for Computational Linguistics.
- Cite (Informal):
- Revisiting Selectional Preferences for Coreference Resolution (Heinzerling et al., EMNLP 2017)
- PDF:
- https://preview.aclanthology.org/ml4al-ingestion/D17-1138.pdf