Retrieving collocations from text: Xtract
Computational Linguistics - Special issue on using large corpora: I
A stochastic parts program and noun phrase parser for unrestricted text
ANLC '88 Proceedings of the second conference on Applied natural language processing
Word-sense disambiguation using statistical methods
ACL '91 Proceedings of the 29th annual meeting on Association for Computational Linguistics
Noun classification from predicate-argument structures
ACL '90 Proceedings of the 28th annual meeting on Association for Computational Linguistics
Selective sampling for example-based word sense disambiguation
Computational Linguistics
Word sense disambiguation in untagged text based on term weight learning
EACL '99 Proceedings of the ninth conference on European chapter of the Association for Computational Linguistics
Word sense acquisition from bilingual comparable corpora
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
Automatic thesaurus construction based on grammatical relations
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
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Polysemy is one of the major causes of difficulties in semantic clustering of words in a corpus. In this paper, we first give a definition of polysemy from the viewpoint of clustering and then, based on this definition, we propose a clustering method which recognises verbal polysemies from a textual corpus. The results of experiments demonstrate the effectiveness of the proposed method.