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Automatic Identification of Whole-Part Relations in Portuguese

Authors Ilia Markov, Nuno Mamede, Jorge Baptista



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OASIcs.SLATE.2014.225.pdf
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Ilia Markov
Nuno Mamede
Jorge Baptista

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Ilia Markov, Nuno Mamede, and Jorge Baptista. Automatic Identification of Whole-Part Relations in Portuguese. In 3rd Symposium on Languages, Applications and Technologies. Open Access Series in Informatics (OASIcs), Volume 38, pp. 225-232, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2014)
https://doi.org/10.4230/OASIcs.SLATE.2014.225

Abstract

In this paper, we improve the extraction of semantic relations between textual elements as it is currently performed by STRING, a hybrid statistical and rule-based Natural Language Processing chain for Portuguese, by targeting whole-part relations (meronymy), that is, a semantic relation between an entity that is perceived as a constituent part of another entity, or a member of a set. In this case, we focus on the type of meronymy involving human entities and body-part nouns.
Keywords
  • whole-part relation
  • meronymy
  • body-part noun
  • disease noun
  • Portuguese

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