A corpus analysis approach for automatic query expansion
CIKM '97 Proceedings of the sixth international conference on Information and knowledge management
Similarity-Based Models of Word Cooccurrence Probabilities
Machine Learning - Special issue on natural language learning
Foundations of statistical natural language processing
Foundations of statistical natural language processing
Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition
Introduction to the special issue on word sense disambiguation: the state of the art
Computational Linguistics - Special issue on word sense disambiguation
Automatic word sense discrimination
Computational Linguistics - Special issue on word sense disambiguation
Natural Language Engineering
Automatic retrieval and clustering of similar words
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
A mathematical model for context and word-meaning
CONTEXT'03 Proceedings of the 4th international and interdisciplinary conference on Modeling and using context
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There is a renewed interest in word sense disambiguation (WSD) as it contributes to various applications in natural language processing. In this paper we survey vector-based methods for WSD in machine learning. All the methods are corpus-based and use definition of context in the sense introduced by S. Marcus [11].