Dictionary definitions based homograph identification using a generative hierarchical model

  • Authors:

  • Anagha Kulkarni;Jamie Callan

  • Affiliations:

  • Carnegie Mellon University, Pittsburgh, PA;Carnegie Mellon University, Pittsburgh, PA

  • 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

A solution to the problem of homograph (words with multiple distinct meanings) identification is proposed and evaluated in this paper. It is demonstrated that a mixture model based framework is better suited for this task than the standard classification algorithms - relative improvement of 7% in F1 measure and 14% in Cohen's kappa score is observed.