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. © Ilia Markov, Nuno Mamede, and Jorge Baptista.
|Name||OpenAccess Series in Informatics|
|Conference||3rd Symposium on Languages, Applications and Technologies, SLATE 2014|
|Period||19/06/14 → 20/06/14|