Event extraction using distant supervision

Kevin Reschke, Martin Jankowiak, Mihai Surdeanu, Christopher D. Manning, Daniel Jurafsky

Research output: Chapter in Book/Report/Conference proceedingConference contribution

14 Scopus citations

Abstract

Distant supervision is a successful paradigm that gathers training data for information extraction systems by automatically aligning vast databases of facts with text. Previous work has demonstrated its usefulness for the extraction of binary relations such as a person's employer or a film's director. Here, we extend the distant supervision approach to template-based event extraction, focusing on the extraction of passenger counts, aircraft types, and other facts concerning airplane crash events. We present a new publicly available dataset and event extraction task in the plane crash domain based on Wikipedia infoboxes and newswire text. Using this dataset, we conduct a preliminary evaluation of four distantly supervised extraction models which assign named entity mentions in text to entries in the event template. Our results indicate that joint inference over sequences of candidate entity mentions is beneficial. Furthermore, we demonstrate that the SEARN algorithm outperforms a linear-chain CRF and strong baselines with local inference.

Original languageEnglish (US)
Title of host publicationProceedings of the 9th International Conference on Language Resources and Evaluation, LREC 2014
PublisherEuropean Language Resources Association (ELRA)
Pages4527-4531
Number of pages5
ISBN (Electronic)9782951740884
StatePublished - Jan 1 2014
Event9th International Conference on Language Resources and Evaluation, LREC 2014 - Reykjavik, Iceland
Duration: May 26 2014May 31 2014

Other

Other9th International Conference on Language Resources and Evaluation, LREC 2014
CountryIceland
CityReykjavik
Period5/26/145/31/14

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Keywords

  • Distant-supervision
  • Event-extraction
  • Searn

ASJC Scopus subject areas

  • Linguistics and Language
  • Library and Information Sciences
  • Education
  • Language and Linguistics

Cite this

Reschke, K., Jankowiak, M., Surdeanu, M., Manning, C. D., & Jurafsky, D. (2014). Event extraction using distant supervision. In Proceedings of the 9th International Conference on Language Resources and Evaluation, LREC 2014 (pp. 4527-4531). European Language Resources Association (ELRA).