Papers with end-to-end neural network framework

1 papers
Neural Document Summarization by Jointly Learning to Score and Select Sentences (P18-1)

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Challenge: Sentence scoring and sentence selection are two main steps in extractive document summarization systems.
Approach: They propose an end-to-end neural network framework for extractive document summarization by jointly learning to score and select sentences.
Outcome: The proposed framework outperforms the state-of-the-art summarization models on the CNN/Daily Mail dataset.

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