BriefGPT.xyz
Apr, 2017
具有侧面信息的神经抽取式摘要生成
Neural Extractive Summarization with Side Information
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Shashi Narayan, Nikos Papasarantopoulos, Mirella Lapata, Shay B. Cohen
TL;DR
本文提出了利用辅助信息进行抽取式文本摘要的框架，该框架包括分层文档编码器和基于注意力机制的摘要提取器，利用大规模新闻数据集证明了与不使用辅助信息相比，利用辅助信息进行抽取式文本摘要可以更加有效地提高信息量和流畅度。
Abstract
Most
extractive summarization
methods focus on the main body of the document from which sentences need to be extracted. The gist of the document often lies in the
side information
of the document, such as title a
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