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HLT '93 Proceedings of the workshop on Human Language Technology
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An automatic method for generating sense tagged corpora
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
A Hidden Markov Model Approach to Word Sense Disambiguation
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EACL '99 Proceedings of the ninth conference on European chapter of the Association for Computational Linguistics
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EMNLP '03 Proceedings of the 2003 conference on Empirical methods in natural language processing
Estimating class priors in domain adaptation for word sense disambiguation
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
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Fuzzy Sets and Systems
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ElectricDict '04 Proceedings of the Workshop on Enhancing and Using Electronic Dictionaries
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AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 3
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NUS-PT: exploiting parallel texts for word sense disambiguation in the English all-words tasks
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
WorkSense '00 Proceedings of the ACL-2000 Workshop on Word Senses and Multi-Linguality
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IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
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EPIA '09 Proceedings of the 14th Portuguese Conference on Artificial Intelligence: Progress in Artificial Intelligence
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EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 3 - Volume 3
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MCD'07 Proceedings of the 3rd ECML/PKDD international conference on Mining complex data
Ontological summaries through hierarchical clustering
ISMIS'08 Proceedings of the 17th international conference on Foundations of intelligent systems
Mixture model based contextual image retrieval
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ACLDemos '10 Proceedings of the ACL 2010 System Demonstrations
UCF-WS: Domain word sense disambiguation using web selectors
SemEval '10 Proceedings of the 5th International Workshop on Semantic Evaluation
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Multimedia Tools and Applications
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This paper proposes benchmarks for systems of automatic sense identification. A textual corpus in which open-class words had been tagged both syntactically and semantically was used to explore three statistical strategies for sense identification: a guessing heuristic, a most-frequent heuristic, and a co-occurrence heuristic. When no information about sense-frequencies was available, the guessing heuristic using the numbers of alternative senses in WordNet was correct 45% of the time. When statistics for sense-frequencies were derived from a semantic concordance, the assumption that each word is used in its most frequently occurring sense was correct 69% of the time; when that figure was calculated for polysemous words alone, it dropped to 58%. And when a co-occurrence heuristic took advantage of prior occurrences of words together in the same sentences, little improvement was observed. The semantic concordance is still too small to estimate the potential limits of a co-occurrence heuristic.