A nonparametric method for extraction of candidate phrasal terms

  • Authors:
  • Paul Deane

  • Affiliations:
  • Center for Assessment, Design and Scoring, Educational Testing Service

  • Venue:
  • ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
  • Year:
  • 2005

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Abstract

This paper introduces a new method for identifying candidate phrasal terms (also known as multiword units) which applies a nonparametric, rank-based heuristic measure. Evaluation of this measure, the mutual rank ratio metric, shows that it produces better results than standard statistical measures when applied to this task.