Shengqi Lu

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Semi-supervised learning is an active research field. Previous results shown that unite background information into the original unsupervised clustering problem could archive higher accuracy. In this paper, we explore the cooperation between the pairwise constrains given by the user and the se-matic information in natural language. In addition, we reduce(More)
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