TY - GEN
T1 - Extraction of verb synonyms using co-clustering approach
AU - Takeuchi, Koichi
PY - 2008/12/1
Y1 - 2008/12/1
N2 - 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.
AB - 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.
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U2 - 10.1109/ISUC.2008.66
DO - 10.1109/ISUC.2008.66
M3 - Conference contribution
AN - SCOPUS:60649109357
SN - 9780769534336
T3 - Proceedings of the 2nd International Symposium on Universal Communication, ISUC 2008
SP - 173
EP - 178
BT - Proceedings of the 2nd International Symposium on Universal Communication, ISUC 2008
T2 - 2nd International Symposium on Universal Communication, ISUC 2008
Y2 - 15 December 2008 through 16 December 2008
ER -