Papers with Information selection

1 papers
Improving Neural Abstractive Document Summarization with Explicit Information Selection Modeling (D18-1)

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Challenge: Existing neural abstractive methods for document summarization are not effective for document summary.
Approach: They propose to extend basic neural encoding-decoding framework with an information selection layer to explicitly model and optimize the information selection process in abstractive document summarization.
Outcome: The proposed model outperforms state-of-the-art methods on document summarization tasks significantly.

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