Abstract

MARKOV, Ilia; MAMEDE, Nuno  and  BAPTISTA, Jorge. A Rule-Based Meronymy Extraction Module for Portuguese. Comp. y Sist. [online]. 2015, vol.19, n.4, pp.661-683. ISSN 2007-9737.  https://doi.org/10.13053/CyS-19-4-2255.

In this article, 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 (NLP) chain for Portuguese, by targeting whole-part relation (meronymy), that is, a semantic relation between two entities of which one is perceived as a constituent part of the other, or between a set and its member. In this case, we focus on the type of meronymy involving human entities and body-part nouns (Nbp) (e.g., O Pedro partiu uma perna 'Pedro broke a leg': WHOLE-PART (Pedro, perna) WHOLE-PART (Pedro, leg) '). In orderto extract this type of whole-part relations, a rule-based meronymy extraction module has been built and integrated in the grammar of the STRING system. The module was evaluated with promising results.

Keywords : Whole-part relation; meronymy; body-part noun; disease noun; Portuguese.

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