Similarity-Based Models of Word Cooccurrence Probabilities
Machine Learning - Special issue on natural language learning
Probabilistic latent semantic indexing
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Measures of distributional similarity
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Distributional similarity models: clustering vs. nearest neighbors
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
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We investigate a novel approach to solve the problem of sparse data through dimension reduction. Linear algebraic technique called LSA/SVD is used to find co-relationships of sparse words. Three variant estimation methods are suggested and they are evaluated for estimating unseen noun-verb co-occurrence probability. The model shows possibility to be alternative probability smoothing method.