Automatic identification of whole-part relations in portuguese

I. Markov, N. Mamede, J. Baptista

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

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. © Ilia Markov, Nuno Mamede, and Jorge Baptista.
Original languageEnglish
Title of host publication3rd Symposium on Languages, Applications and Technologies, SLATE 2014
PublisherSchloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing
Pages225-232
ISBN (Print)9783939897682
DOIs
Publication statusPublished - 2014
Externally publishedYes
Event3rd Symposium on Languages, Applications and Technologies, SLATE 2014 - , Portugal
Duration: 19 Jun 201420 Jun 2014

Publication series

NameOpenAccess Series in Informatics
ISSN (Print)2190-6807

Conference

Conference3rd Symposium on Languages, Applications and Technologies, SLATE 2014
Country/TerritoryPortugal
Period19/06/1420/06/14

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