Finding taxonomical relation from an MRD for thesaurus extension

  • Authors:
  • SeonHwa Choi;HyukRo Park

  • Affiliations:
  • Dept. of Computer Science, Chonnam National University, Gwangju, Korea;Dept. of Computer Science, Chonnam National University, Gwangju, Korea

  • Venue:
  • IJCNLP'05 Proceedings of the Second international joint conference on Natural Language Processing
  • Year:
  • 2005

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Abstract

Building a thesaurus is very costly and time-consuming task. To alleviate this problem, this paper proposes a new method for extending a thesaurus by adding taxonomic information automatically extracted from an MRD. The proposed method adopts a machine learning algorithm in acquiring rules for identifying a taxonomic relationship to minimize human-intervention. The accuracy of our method in identifying hypernyms of a noun is 89.7%, and it shows that the proposed method can be successfully applied to the problem of extending a thesaurus.