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A Set of NP-Extraction Rules for Portuguese: Defining, Learning and Pruning

  • Claudia Oliveira
  • Maria Claudia Freitas
  • Violeta Quental
  • Cícero Nogueira dos Santos
  • Renato Paes Leme
  • Lucas Souza
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3960)

Abstract

This paper presents a set of rules for extracting noun phrases from Portuguese texts. We describe how this set was gradually obtained, starting from a machine learned set of transformation rules that was manually reviewed. The noun phrases extracted by these transformations were given as input to another learner that synthesized rules for breaking up complex noun phrases into simpler ones. The results of these processes applied to a Brazilian Portuguese corpus are evaluated.

Keywords

Noun Phrase Relative Clause Training Corpus Head Noun Prepositional Phrase 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Claudia Oliveira
    • 1
  • Maria Claudia Freitas
    • 2
  • Violeta Quental
    • 2
  • Cícero Nogueira dos Santos
    • 3
  • Renato Paes Leme
    • 1
  • Lucas Souza
    • 2
  1. 1.Departamento de Engenharia de SistemasInstituto Militar de EngenhariaRio de JaneiroBrazil
  2. 2.Departamento de LetrasPontifícia Universidade CatólicaRio de JaneiroBrazil
  3. 3.Departamento de InformáticaPontifícia Universidade CatólicaRio de JaneiroBrazil

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