The Life and Death of Discourse Entities: Identifying Singleton Mentions

Recasens, Marta;de Marneffe, Marie-Catherine;Potts, Christopher
(2013) Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics. (2013)

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A discourse typically involves numerous entities, 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 benefit NLP applications such as coreference resolution, protagonist identification, topic modeling, and discourse coherence. We build a logistic regression model for predicting the singleton/coreferent distinction, drawing on linguistic insights about how discourse entity lifespans are affected by syntactic and semantic features. The model is effective in its own right (78% accuracy), and incorporating it into a state-of-the-art coreference resolution system yields a significant improvement.
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Recasens, M., de Marneffe, M.-C., & Potts, C. (2013). The Life and Death of Discourse Entities: Identifying Singleton Mentions. Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics. Published. Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics. https://hdl.handle.net/2078.5/216255 (Original work published 2013)