Automatic retrieval and clustering of similar words
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
Word association norms, mutual information, and lexicography
ACL '89 Proceedings of the 27th annual meeting on Association for Computational Linguistics
Unsupervised word sense disambiguation rivaling supervised methods
ACL '95 Proceedings of the 33rd annual meeting on Association for Computational Linguistics
HLT '93 Proceedings of the workshop on Human Language Technology
WASPBENCH: a lexicographer's workbench supporting state-of-the-art word sense disambiguation
EACL '03 Proceedings of the tenth conference on European chapter of the Association for Computational Linguistics - Volume 2
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
An evaluation of a lexicographer's workbench incorporating word sense disambiguation
CICLing'03 Proceedings of the 4th international conference on Computational linguistics and intelligent text processing
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We present WASP-Bench: a novel approach to Word Sense Disambiguation, also providing a semi-automatic environment for a lexicographer to compose dictionary entries based on corpus evidence. For WSD, involving lexicographers tackles the twin obstacles to high accuracy: paucity of training data and insufficiently explicit dictionaries. For lexicographers, the computational environment fills the need for a corpus workbench which supports WSD. Results under simulated lexicographic use on the English lexical-sample task show precision comparable with supervised systems, without using the laboriously-prepared training data.