Extracting Subevents via an Effective Two-phase Approach

Abstract

We present our pilot research on automatically extracting subevents from a domain-specific corpus, focusing on the type of subevents that describe physical actions composing an event. We decompose the challenging problem and propose a two-phase approach that effectively captures sentential and local cues that describe subevents. We extracted a rich set of over 600 novel subevent phrases. Evaluation shows the automatically learned subevents help to discover 10% additional main events (of which the learned subevents are a part) and improve event detection performance.

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Cite this paper

@inproceedings{Badgett2016ExtractingSV, title={Extracting Subevents via an Effective Two-phase Approach}, author={Allison Badgett and Ruihong Huang}, booktitle={EMNLP}, year={2016} }