A language modeling approach to information retrieval
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A study of smoothing methods for language models applied to Ad Hoc information retrieval
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
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Optimizing question answering accuracy by maximizing log-likelihood
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In this paper we propose a new way of using language models in query classification for question answering systems. We used a Bayes classifier as classification paradigm. Experimental results show that our approach outperforms current classification methods like Naive Bayes and SVM.