Evaluating WordNet-based Measures of Lexical Semantic Relatedness

Article Properties
  • Language
    English
  • DOI (url)
    10.1162/coli.2006.32.1.13
  • Publication Date
    2006/03/01
  • Journal
    Computational Linguistics
  • Indian UGC (Journal)
  • Refrences
    13
  • Citations
    359
  • Alexander Budanitsky Department of Computer Science, University of Toronto, Toronto, Ontario, Canada M5S 3G4 ,
  • Graeme Hirst Department of Computer Science, University of Toronto, Toronto, Ontario, Canada M5S 3G4 ,
Abstract
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Budanitsky, Alexander, and Graeme Hirst. “Evaluating WordNet-Based Measures of Lexical Semantic Relatedness”. Computational Linguistics, vol. 32, no. 1, 2006, pp. 13-47, https://doi.org/10.1162/coli.2006.32.1.13.
Budanitsky, A., & Hirst, G. (2006). Evaluating WordNet-based Measures of Lexical Semantic Relatedness. Computational Linguistics, 32(1), 13-47. https://doi.org/10.1162/coli.2006.32.1.13
Budanitsky A, Hirst G. Evaluating WordNet-based Measures of Lexical Semantic Relatedness. Computational Linguistics. 2006;32(1):13-47.
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Language and Literature
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Natural language processing
Science
Mathematics
Instruments and machines
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Citations
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Citations Analysis
Category Category Repetition
Science: Mathematics: Instruments and machines: Electronic computers. Computer science206
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics102
Technology: Mechanical engineering and machinery93
Science: Science (General): Cybernetics: Information theory91
Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software50
The first research to cite this article was titled Applications of corpus-based semantic similarity and word segmentation to database schema matching and was published in 2007. The most recent citation comes from a 2024 study titled Applications of corpus-based semantic similarity and word segmentation to database schema matching . This article reached its peak citation in 2015 , with 39 citations.It has been cited in 187 different journals, 12% of which are open access. Among related journals, the Knowledge-Based Systems cited this research the most, with 13 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year