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Lexical Knowledge Acquisition Using Spontaneous Descriptions in Texts

  • Augusta Mela
  • Mathieu Roche
  • Mohamed El Amine Bekhtaoui
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7337)

Abstract

This paper focuses on the extraction of lexical knowledge from text by exploiting the “glosses” of words, i.e. spontaneous descriptions identifiable by lexical markers and specific morpho-syntactic patterns. This information offers interesting knowledge in order to build dictionaries. In this study based on the RESENS project, we compare two methods to extract this linguistic information using local grammars and/or web-mining approaches. Experiments have been conducted on real data in French.

Keywords

Nominal Phrase Local Pattern Ranking Function Lexical Knowledge Nominal 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 2012

Authors and Affiliations

  • Augusta Mela
    • 1
  • Mathieu Roche
    • 2
  • Mohamed El Amine Bekhtaoui
    • 3
  1. 1.Univ. Montpellier 3France
  2. 2.LIRMM – CNRSUniv. Montpellier 2France
  3. 3.Univ. Montpellier 2France

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