Automatic labeling of semantic roles

  • Authors:
  • Daniel Gildea;Daniel Jurafsky

  • Affiliations:
  • University of California, Berkeley;University of Colorado, Boulder

  • Venue:
  • ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
  • Year:
  • 2000

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Abstract

We present a system for identifying the semantic relationships, or semantic roles, filled by constituents of a sentence within a semantic frame. Various lexical and syntactic features are derived from parse trees and used to derive statistical classifiers from hand-annotated training data.