An automatic clustering of articles using dictionary definitions

  • Authors:
  • Fumiyo Fukumoto;Yoshimi Suzuki

  • Affiliations:
  • Yamanashi University, Kofu, Japan;Yamanashi University, Kofu, Japan

  • Venue:
  • COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 1
  • Year:
  • 1996

Quantified Score

Hi-index 0.00

Visualization

Abstract

In this paper, we propose a statistical approach for clustering of articles using on-line dictionary definitions. One of the characteristics of our approach is that every sense of word in articles is automatically disambiguated using dictionary definitions. The other is that in order to cope with the problem of a phrasal lexicon, linking which links words with their semantically similar words in articles is introduced in our method. The results of experiments demonstrate the effectiveness of the proposed method.