Bayesian approaches in Natural Language Processing
نویسنده
چکیده
This paper overviews Bayesian approaches in natural language processing that are becoming prominent. Without any knowledge of natural language processing, Bayesian approaches to both discriminative learning and generative modeling are described. Especially, näıve bayes and its full unsupervised Bayesian modeling, DM, and LDA are developed. These Bayesian approaches permit interesting joint modeling with continuous data, such as images and musics.
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