Event matching using the transitive closure of dependency relations

  • Authors:
  • Daniel M. Bikel;Vittorio Castelli

  • Affiliations:
  • IBM T. J. Watson Research Center, Yorktown Heights, NY;IBM T. J. Watson Research Center, Yorktown Heights, NY

  • Venue:
  • HLT-Short '08 Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics on Human Language Technologies: Short Papers
  • Year:
  • 2008

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Abstract

This paper describes a novel event-matching strategy using features obtained from the transitive closure of dependency relations. The method yields a model capable of matching events with an F-measure of 66.5%.