Building and Using a Lexical Knowledge Base of Near-Synonym Differences

  • Authors:
  • Diana Inkpen;Graeme Hirst

  • Affiliations:
  • School of Information Technology and Engineering, University of Ottawa, Ottawa, ON, Canada, K1N 6N5;Department of Computer Science, University of Toronto, Toronto, ON, Canada, M5S 3G4

  • Venue:
  • Computational Linguistics
  • Year:
  • 2006

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Abstract

The initial knowledge base is later enriched with information from other machine-readable dictionaries. Information about the collocational behavior of the near-synonyms is acquired from free text. The knowledge base is used by Xenon, a natural language generation system that shows how the new lexical resource can be used to choose the best near-synonym in specific situations.