Word sense ambiguation: clustering related senses

  • Authors:
  • William B. Dolan

  • Affiliations:
  • Microsoft Research

  • Venue:
  • COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 2
  • Year:
  • 1994

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Abstract

This paper describes a heuristic approach to automatically identifying which senses of a machinereadable dictionary (MRD) headword are semantically related versus those which correspond to fundamentally different senses of the word. The inclusion of this information in a lexical database profoundly alters the nature of sense disambiguation: the appropriate "sense" of a polysemous word may now correspond to some set of related senses. Our technique offers benefits both for on-line semantic processing and for the challenging task of mapping word senses across multiple MRDs in creating a merged lexical database.