DeepChannel: Salience Estimation by Contrastive Learning for Extractive Document Summarization

6 Nov 2018Jiaxin ShiChen LiangLei HouJuanzi LiZhiyuan LiuHanwang Zhang

We propose DeepChannel, a robust, data-efficient, and interpretable neural model for extractive document summarization. Given any document-summary pair, we estimate a salience score, which is modeled using an attention-based deep neural network, to represent the salience degree of the summary for yielding the document... (read more)

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