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A Global Ant Colony Algorithm for Word Sense Disambiguation Based on Semantic Relatedness

  • Didier Schwab
  • Nathan Guillaume
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 89)

Abstract

Brute-force WSD algorithms based on semantic relatedness are really time consuming. We study how to perform faster and better WSD. We focus here on an ant colony algorithm and evaluate it to exhibit some of its characteristics.

Keywords

Travelling Salesman Problem Semantic Relatedness Machine Translation Local Algorithm Word Sense 
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 2011

Authors and Affiliations

  • Didier Schwab
    • 1
  • Nathan Guillaume
    • 1
  1. 1.LIG-GETALP (Laboratory of Informatics of Grenoble - Study Group for Machine, Translation and Automated Processing of Languages and Speech)University of GrenobleFrance

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