DocumentCode :
1994443
Title :
Extraction of Verb Synonyms using Co-clustering Approach
Author :
Takeuchi, Koichi
Author_Institution :
Grad. Sch. of Natural Sci. & Technol., Okayama Univ., Okayama, Japan
fYear :
2008
fDate :
15-16 Dec. 2008
Firstpage :
173
Lastpage :
178
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.
Keywords :
graph theory; natural language processing; pattern clustering; text analysis; bipartite graph algorithm; graph-based coclustering approach; noun synonyms; verb synonym extraction; word cooccurrence; Bipartite graph; Character generation; Clustering algorithms; Data mining; Helium; Large-scale systems; Mutual information; Optimization methods; Partitioning algorithms; Thesauri; clustering; co-clustering; verb synonyms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Universal Communication, 2008. ISUC '08. Second International Symposium on
Conference_Location :
Osaka
Print_ISBN :
978-0-7695-3433-6
Type :
conf
DOI :
10.1109/ISUC.2008.66
Filename :
4724458
Link To Document :
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