Finding Taxonomical Relation from an MRD for Thesaurus Extension

نویسندگان

  • SeonHwa Choi
  • Hyuk Ro Park
چکیده

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.

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تاریخ انتشار 2005