DualSum: a Topic-Model based approach for update summarization

Abstract

Update summarization is a new challenge in multi-document summarization focusing on summarizing a set of recent documents relatively to another set of earlier documents. We present an unsupervised probabilistic approach to model novelty in a document collection and apply it to the generation of update summaries. The new model, called DUALSUM, results in the… (More)

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