Proceedings of the 1992 ACM/IEEE conference on Supercomputing
Using WordNet to disambiguate word senses for text retrieval
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
Word sense disambiguation using a second language monolingual corpus
Computational Linguistics
Towards building contextual representations of word senses using statistical models
Corpus processing for lexical acquisition
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
Introduction to the special issue on word sense disambiguation: the state of the art
Computational Linguistics - Special issue on word sense disambiguation
Disambiguating highly ambiguous words
Computational Linguistics - Special issue on word sense disambiguation
Two languages are more informative than one
ACL '91 Proceedings of the 29th annual meeting on Association for Computational Linguistics
Word-sense disambiguation using statistical methods
ACL '91 Proceedings of the 29th 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
Word-sense disambiguation using statistical models of Roget's categories trained on large corpora
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 2
Bootstrapping dictionaries for cross-language information retrieval
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
An empirical evaluation of knowledge sources and learning algorithms for word sense disambiguation
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
Learning indexing patterns from one language for the benefit of others
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Hierarchical semantic classification: word sense disambiguation with world knowledge
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
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We present an unsupervised method for resolving word sense ambiguities in one language by using statistical evidence assembled from other languages. It is crucial for this approach that texts are mapped into a language-independent interlingual representation. We also show that the coverage and accuracy resulting from multilingual sources outperform analyses where only monolingual training data is taken into account.