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SENSE: an analogy-based Word Sense Disambiguation system

  • STEFANO FEDERICI (a1), SIMONETTA MONTEMAGNI (a1) and VITO PIRRELLI (a1)
    • Published online: 01 June 1999
Abstract

The paper describes SENSE, a word sense disambiguation system which makes use of multidimensional analogy-based proportions to infer the most likely sense of a word given its context. Architecture and functioning of the system are illustrated in detail. Results of different experimental settings are given, showing that the system, in spite its conservative bias, successfully copes with the problem of training data sparseness.

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Natural Language Engineering
  • ISSN: 1351-3249
  • EISSN: 1469-8110
  • URL: /core/journals/natural-language-engineering
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