articleJan 1, 2004Closed access

Semantic distance in WordNet: An experimental, application-oriented evaluation of five measures

ABAlexander BudanitskyGHGraeme HirstKAKeith AlcockJCJiang— Conrath

Abstract

Five different proposed measures of similarity or semantic distance in WordNet were experimentally compared by examining their performance in a real-word spelling correction system. It was found that Jiang and Conrath 's measure gave the best results overall. That of Hirst and St-Onge seriously over-related, that of Resnik seriously under-related, and those of Lin and of Leacock and Chodorow fell in between. 1

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Topics & keywords

Topics
Keywords
  • WordNet
  • Computer science
  • Natural language processing
  • Artificial intelligence
  • Semantic similarity
  • Information retrieval
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