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Document
Automatic Identification of Whole-Part Relations in Portuguese

Authors: Ilia Markov, Nuno Mamede, and Jorge Baptista

Published in: OASIcs, Volume 38, 3rd Symposium on Languages, Applications and Technologies (2014)


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.

Cite as

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)


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@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-dev.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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