From Syntactical Analysis to Textual Segmentation

  • Ana Luisa Leal
  • Paulo Quaresma
  • Rove Chishman
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3960)


In this work a proposal for automatic textual segmentation is described. The proposal uses the output of an automatic syntactic analyzer – Parser Palavras – to create textual segmentation. Parse trees are used to infer text segments and a dependency tree of the identified segments. The main contribution of this work is the use of the syntactic structure as source for the automatic segmentation of texts, as well, as the use of inference rules for the textual organization.


Relative Clause Syntactic Structure Automatic Segmentation Parse Tree Dependency Tree 
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

  • Ana Luisa Leal
    • 1
  • Paulo Quaresma
    • 1
  • Rove Chishman
    • 2
  1. 1.Departamento de InformáticaUniversidade de ÉvoraPortugal
  2. 2.UNISINOS – Universidade do Vale do Rio de SinosS. LeopoldoBrasil

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