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  • 标题:Automatic Identification of Whole-Part Relations in Portuguese
  • 本地全文:下载
  • 作者:Ilia Markov ; Nuno Mamede ; Jorge Baptista
  • 期刊名称:OASIcs : OpenAccess Series in Informatics
  • 电子版ISSN:2190-6807
  • 出版年度:2014
  • 卷号:38
  • 页码:225-232
  • DOI:10.4230/OASIcs.SLATE.2014.225
  • 出版社:Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik
  • 摘要: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.
  • 关键词:whole-part relation; meronymy; body-part noun; disease noun; Portuguese
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