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.
@InProceedings{markov_et_al:OASIcs.SLATE.2014.225, author = {Markov, Ilia and Mamede, Nuno and Baptista, Jorge}, title = {{Automatic Identification of Whole-Part Relations in Portuguese}}, booktitle = {3rd Symposium on Languages, Applications and Technologies}, pages = {225--232}, series = {Open Access Series in Informatics (OASIcs)}, ISBN = {978-3-939897-68-2}, ISSN = {2190-6807}, year = {2014}, volume = {38}, editor = {Pereira, Maria Jo\~{a}o Varanda and Leal, Jos\'{e} Paulo and Sim\~{o}es, Alberto}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.SLATE.2014.225}, URN = {urn:nbn:de:0030-drops-45723}, doi = {10.4230/OASIcs.SLATE.2014.225}, annote = {Keywords: whole-part relation, meronymy, body-part noun, disease noun, Portuguese} }
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