Papers by Shinsaku Sakaue

1 papers
Provable Fast Greedy Compressive Summarization with Any Monotone Submodular Function (N18-1)

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Challenge: Submodular maximization with the greedy algorithm is an effective approach to extractive summarization.
Approach: They propose a submodular maximization method that is 100 to 400 times faster than existing methods for extractive summarization.
Outcome: The proposed method is 100 to 400 times faster than existing method based on integer-linear-programming formulations and achieves 95%-approximation.

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