Computing Word-Pair Antonymy

  title={Computing Word-Pair Antonymy},
  author={Saif Mohammad and Bonnie J. Dorr and Graeme Hirst},
Knowing the degree of antonymy between words has widespread applications in natural language processing. Manually-created lexicons have limited coverage and do not include most semantically contrasting word pairs. We present a new automatic and empirical measure of antonymy that combines corpus statistics with the structure of a published thesaurus. The approach is evaluated on a set of closest-opposite questions, obtaining a precision of over 80%. Along the way, we discuss what humans consider… CONTINUE READING
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