Computational Linguistics
Similarity-based approaches to natural language processing
Similarity-based approaches to natural language processing
Automatic word sense discrimination
Computational Linguistics - Special issue on word sense disambiguation
Distributional similarity models: clustering vs. nearest neighbors
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Dependency-Based Construction of Semantic Space Models
Computational Linguistics
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In this paper, we propose an empirical Bayesian method for determining whether a word is used out of context. We suggest we can treat a word's context as a multinomially distributed random variable, and this leads us to a simple and direct Bayesian hypothesis test for the problem in question. We demonstrate this method to be superior to a method based upon common practice in the literature. We also demonstrate how an empirical Bayes method, whereby we use the behaviour of other words to specify a prior distribution on model parameters, improves performance by an appreciable amount where training data is sparse.