Large-Margin Learning of Submodular Summarization Models


In this paper, we present a supervised learning approach to training submodular scoring functions for extractive multidocument summarization. By taking a structured prediction approach, we provide a large-margin method that directly optimizes a convex relaxation of the desired performance measure. The learning method applies to all submodular summarization… (More)


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Citations per Year

Citation Velocity: 31

Averaging 31 citations per year over the last 3 years.

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