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Automatic summarization is developed to extract the representative contents or sentences from a large corpus of documents. This paper presents a new hierarchical representation of words, sentences and documents in a corpus, and infers the Dirichlet distributions for latent topics and latent themes in word level and sentence level, respectively. The sentence-based latent Dirichlet allocation (SLDA)...
Language model is a popular method of exploiting linguistic regularities for document retrieval. To improve retrieval performance, the scheme of relevance feedback is adopted by adjusting the query language model using the information feedback from the retrieved documents. This study presents a new Bayesian learning approach to instantaneous and unsupervised adaptation of language model for adaptive...
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