Abstract
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 wholepart 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 order to 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.
Original language | English |
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Pages (from-to) | 661-683 |
Journal | Computacion y Sistemas |
Volume | 19 |
Issue number | 4 |
DOIs | |
Publication status | Published - 2015 |
Externally published | Yes |