Span-Based Event Coreference Resolution

Authors

  • Jing Lu Human Language Technology Research Institute University of Texas at Dallas
  • Vincent Ng Human Language Technology Research Institute University of Texas at Dallas

Keywords:

Applications, Discourse, Pragmatics & Argument Mining

Abstract

Motivated by the recent successful application of span-based models to entity-based information extraction tasks, we investigate span-based models for event coreference resolution, focusing on determining (1) whether the successes of span-based models of entity coreference can be extended to event coreference; (2) whether exploiting the dependency between event coreference and the related subtask of trigger detection; and (3) whether automatically computed entity coreference information can benefit span-based event coreference resolution. Empirical results on the standard evaluation dataset provide affirmative answers to all three questions.

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Published

2021-05-18

How to Cite

Lu, J., & Ng, V. (2021). Span-Based Event Coreference Resolution. Proceedings of the AAAI Conference on Artificial Intelligence, 35(15), 13489-13497. Retrieved from https://ojs.aaai.org/index.php/AAAI/article/view/17591

Issue

Section

AAAI Technical Track on Speech and Natural Language Processing II