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Automatic Extraction of Semantic Relations by Using Web Statistical Information

  • Valeria Borzì
  • Simone Faro
  • Arianna Pavone
Conference paper
  • 856 Downloads
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8577)

Abstract

A semantic network is a graph which represents semantic relations between concepts, used in a lot of fields as a form of knowledge representation. This paper describes an automatic approach to identify semantic relations between concepts by using statistical information extracted from the Web. We automatically constructed an associative network starting from a lexicon. Moreover we applied these measures to the ESL semantic similarity test proving that our model is suitable for representing semantic correlations between terms obtaining an accuracy which is comparable with the state of the art.

Keywords

Semantic Similarity Semantic Relatedness Semantic Network Automatic Extraction Computational Linguistics 
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 International Publishing Switzerland 2014

Authors and Affiliations

  • Valeria Borzì
    • 1
  • Simone Faro
    • 1
  • Arianna Pavone
    • 2
  1. 1.Dipartimento di Matematica e InformaticaUniversità di CataniaCataniaItaly
  2. 2.Dipartimento di Scienze UmanisticheUniversità di CataniaCataniaItaly

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