Measuring semantic relatedness using people and WordNet

  • Authors:
  • Beata Beigman Klebanov

  • Affiliations:
  • The Hebrew University, Jerusalem, Israel

  • Venue:
  • NAACL-Short '06 Proceedings of the Human Language Technology Conference of the NAACL, Companion Volume: Short Papers
  • Year:
  • 2006

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Abstract

In this paper, we (1) propose a new dataset for testing the degree of relatedness between pairs of words; (2) propose a new WordNet-based measure of relatedness, and evaluate it on the new dataset.