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From Text to Knowledge

  • M. Fernández
  • E. Villemonte de la Clergerie
  • M. Vilares
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4739)

Abstract

In this paper, we present a new approximation in Natural Language Processing (nlp) aimed at knowledge representation and acquisition using a formal syntactic frame. In practice, we introduce our implementation on an encyclopedic corpus in a botanic domain, illustrating the algorithm on a set of preliminary tests.

Keywords

Input String Computational Linguistics Lexical Ambiguity Unknown Word Term Extraction 
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 2007

Authors and Affiliations

  • M. Fernández
    • 1
  • E. Villemonte de la Clergerie
    • 2
  • M. Vilares
    • 1
  1. 1.Department of Computer Science, University of Vigo, Campus As Lagoas s/n, 32004 OurenseSpain
  2. 2.Institut National de Recherche en Informatique et en Automatique, Domaine de Voluceau, Rocquencourt, B.P. 105, 78153 Le Chesnay CedexFrance

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