Extraction of verb synonyms using co-clustering approach

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

This paper describes that a graph-based co-clustering approach is suitable for extraction of verb synonyms from large scale texts. The proposed bipartite graph algorithm can produce clusters of verb synonyms as well as noun synonyms taking into account word co-occurrence between verb and its argument. Experimental results show that the co-clustering approach achieve higher accuracy than those by a vector-based single clustering approach that are usually used for construction of thesaurus.

Original languageEnglish
Title of host publicationProceedings of the 2nd International Symposium on Universal Communication, ISUC 2008
Pages173-178
Number of pages6
DOIs
Publication statusPublished - Dec 1 2008
Event2nd International Symposium on Universal Communication, ISUC 2008 - Osaka, Japan
Duration: Dec 15 2008Dec 16 2008

Publication series

NameProceedings of the 2nd International Symposium on Universal Communication, ISUC 2008

Other

Other2nd International Symposium on Universal Communication, ISUC 2008
CountryJapan
CityOsaka
Period12/15/0812/16/08

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ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Information Systems
  • Software

Cite this

Takeuchi, K. (2008). Extraction of verb synonyms using co-clustering approach. In Proceedings of the 2nd International Symposium on Universal Communication, ISUC 2008 (pp. 173-178). [4724458] (Proceedings of the 2nd International Symposium on Universal Communication, ISUC 2008). https://doi.org/10.1109/ISUC.2008.66