EMNLP 2017Main
Revisiting Selectional Preferences for Coreference Resolution
作者: Benjamin Heinzerling, Nafise Sadat Moosavi, Michael Strube
摘要
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.