Introduction to the special issue on word sense disambiguation: the state of the art
Computational Linguistics - Special issue on word sense disambiguation
Word sense disambiguation using optimised combinations of knowledge sources
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
Error driven word sense disambiguation
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Unsupervised word sense disambiguation rivaling supervised methods
ACL '95 Proceedings of the 33rd annual meeting on Association for Computational Linguistics
Integrating multiple knowledge sources to disambiguate word sense: an exemplar-based approach
ACL '96 Proceedings of the 34th annual meeting on Association for Computational Linguistics
COLING '90 Proceedings of the 13th conference on Computational linguistics - Volume 2
Corpus-based statistical sense resolution
HLT '93 Proceedings of the workshop on Human Language Technology
Dictionaries merger for text expansion in question answering
ElectricDict '04 Proceedings of the Workshop on Enhancing and Using Electronic Dictionaries
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This paper presents a robust client/server implementation of a word sense disambiguator for English. This system associates a word with its meaning in a given context using dictionaries as tagged corpora in order to extract semantic disambiguation rules. Semantic rules are used as input of a semantic application program which encodes a linguistic strategy in order to select the best disambiguation rule for the word to be disambiguated. The semantic disambiguation rule application program is part of the client/server architecture enabling the processing of large corpora.