A Rule-Based Meronymy Extraction Module for Portuguese

@article{Markov2015ARM,
  title={A Rule-Based Meronymy Extraction Module for Portuguese},
  author={Ilia Markov and Nuno J. Mamede and Jorge Baptista},
  journal={Computaci{\'o}n y Sistemas},
  year={2015},
  volume={19}
}
In this article, we improve the extraction of semantic relations between textual elements as it is currently performed by STRING, a hybrid statistical and rulebased Natural Language Processing (NLP) 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 (Nbp) (e.g… CONTINUE READING

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