Papers with supervised extractive text summarization

1 papers
Iterative Document Representation Learning Towards Summarization with Polishing (D18-1)

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Challenge: Existing summarization methods read through document only once to generate a document representation, resulting in a sub-optimal representation.
Approach: They propose an iterative model for supervised extractive text summarization which polishes the document representation on many passes through the document.
Outcome: The proposed model outperforms state-of-the-art extractive systems on CNN/DailyMail and DUC2002 datasets.

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