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Dec, 2019
基于图的神经句子排序
Graph-based Neural Sentence Ordering
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Yongjing Yin, Linfeng Song, Jinsong Su, Jiali Zeng, Chulun Zhou...
TL;DR
本文提出了一种基于图神经网络的句子排序模型，通过共享实体来建立更具表达力、噪音更小的图表示，可以更准确地学习语义表示，实验结果表明，我们提出的模型准确性高于现有的最先进系统，并对实体如何帮助性能进行了深入分析。
Abstract
sentence ordering
is to restore the original paragraph from a set of sentences. It involves capturing global dependencies among sentences regardless of their input order. In this paper, we propose a novel and flexible graph-based neural
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