Introduction to the special issue on word sense disambiguation: the state of the art
Computational Linguistics - Special issue on word sense disambiguation
Sense information for disambiguation: confluence of supervised and unsupervised methods
WSD '02 Proceedings of the ACL-02 workshop on Word sense disambiguation: recent successes and future directions - Volume 8
Understanding the role of conceptual relations in Word Sense Disambiguation
Expert Systems with Applications: An International Journal
Context constraint disambiguation of word semantics by field association schemes
Information Processing and Management: an International Journal
Word sense disambiguation by relative selection
IJCNLP'05 Proceedings of the Second international joint conference on Natural Language Processing
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This paper describes IIT1, IIT2, and IIT3, three versions of a semantic tagging system basing its sense discriminations on WordNet examples. The system uses WordNet relations aggressively, both in identifying examples of words with similar lexical constraints and matching those examples to the context.