Similarity between words computed by spreading activation on an English dictionary

Hideki Kozima, Teiji Furugori

Research output: Chapter in Book/Report/Conference proceedingConference contribution

78 Citations (Scopus)

Abstract

This paper proposes a method for measuring semantic similarity between words as a new tool for text analysis. The similarity is measured on a semantic network constructed systematically from a subset of the English dictionary, LDOCE {Longman Dictionary of Contemporary English). Spreading activation on the network can directly compute the similarity between any two words in the Longman Defining Vocabulary, and indirectly the similarity of all the other words in LDOCE. The similarity represents the strength of lexical cohesion or semantic relation, and also provides valuable information about similarity and coherence of texts.

Original languageEnglish
Title of host publication6th Conference of the European Chapter of the Association for Computational Linguistics, EACL 1993 - Proceedings
PublisherAssociation for Computational Linguistics (ACL)
Pages232-239
Number of pages8
ISBN (Electronic)9054340142, 9789054340140
Publication statusPublished - 1993
Externally publishedYes
Event6th Conference of the European Chapter of the Association for Computational Linguistics, EACL 1993 - Utrecht, Netherlands
Duration: 1993 Apr 211993 Apr 23

Publication series

Name6th Conference of the European Chapter of the Association for Computational Linguistics, EACL 1993 - Proceedings

Conference

Conference6th Conference of the European Chapter of the Association for Computational Linguistics, EACL 1993
Country/TerritoryNetherlands
CityUtrecht
Period93/4/2193/4/23

ASJC Scopus subject areas

  • Language and Linguistics
  • Linguistics and Language

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