Paper: The Life and Death of Discourse Entities: Identifying Singleton Mentions

ACL ID N13-1071
Title The Life and Death of Discourse Entities: Identifying Singleton Mentions
Venue Annual Conference of the North American Chapter of the Association for Computational Linguistics
Session Main Conference
Year 2013
Authors

A discourse typically involves numerous en- tities, but few are mentioned more than once. Distinguishing discourse entities that die out after just one mention (singletons) from those that lead longer lives (coreferent) would ben- efit NLP applications such as coreference res- olution, protagonist identification, topic mod- eling, and discourse coherence. We build a lo- gistic regression model for predicting the sin- gleton/coreferent distinction, drawing on lin- guistic insights about how discourse entity lifespans are affected by syntactic and seman- tic features. The model is effective in its own right (78% accuracy), and incorporating it into a state-of-the-art coreference resolution sys- tem yields a significant improvement.