MELB-YB: preposition sense disambiguation using rich semantic features

  • Authors:
  • Patrick Ye;Timothy Baldwin

  • Affiliations:
  • University of Melbourne, Australia;University of Melbourne, Australia

  • Venue:
  • SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
  • Year:
  • 2007

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Abstract

This paper describes a maxent-based preposition sense disambiguation system entry to the preposition sense disambiguation task of the SemEval 2007. This system uses a wide variety of semantic and syntactic features to perform the disambiguation task and achieves a precision of 69.3% over the test data.