Revisiting Selectional Preferences for Coreference Resolution

Benjamin Heinzerling, Nafise Sadat Moosavi, Michael Strube


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
Venue:
EMNLP
SIG:
SIGDAT
Publisher:
Association for Computational Linguistics
Note:
Pages:
1332–1339
Language:
URL:
https://www.aclweb.org/anthology/D17-1138
DOI:
10.18653/v1/D17-1138
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PDF:
http://aclanthology.lst.uni-saarland.de/D17-1138.pdf