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In this paper, we propose a data driven approach to text segmentation, while most of the existing unsu-pervised methods determine segmentation boundaries by empirically exploring similarity measurement between adjacent units (e.g. sentences). Firstly, we train a latent Dirichlet allocation (LDA) model with the large scale Wikipedia Corpus to avoid the(More)
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