A vector space model for automatic indexing
Communications of the ACM
The automated acquisition of topic signatures for text summarization
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 1
Word sense disambiguation based on word sense clustering
IBERAMIA-SBIA'06 Proceedings of the 2nd international joint conference, and Proceedings of the 10th Ibero-American Conference on AI 18th Brazilian conference on Advances in Artificial Intelligence
Name discrimination by clustering similar contexts
CICLing'05 Proceedings of the 6th international conference on Computational Linguistics and Intelligent Text Processing
Word sense disambiguation: A survey
ACM Computing Surveys (CSUR)
Topic models for word sense disambiguation and token-based idiom detection
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
KSU KDD: Word sense induction by clustering in topic space
SemEval '10 Proceedings of the 5th International Workshop on Semantic Evaluation
Exploring dictionary-based semantic relatedness in labeled tree data
Information Sciences: an International Journal
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This paper describes the clustering-based approach to Word Sense Disambiguation that is followed by the TKB-UO system at SemEval-2007. The underlying disambiguation method only uses WordNet as external resource, and does not use training data. Results obtained in both Coarse-grained English all-words task (task 7) and English fine-grained all-words subtask (task 17) are presented.