基于指针网络的汉语宏观篇章结构双向解析方法

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Abstract Macro discourse structure analysis aims to facilitate the understanding of the content and purpose in a discourse by revealing its structure. This paper proposes a pointer network model integrating top-down and bottom-up construction strategies. It can use the semantic information of the two construction strategies at the same time, so as to select the appropriate construction method. Experiments on Chinese Macro Chinese Discourse Treebank (MCDTB 2.0) show that the model proposed in this paper can effectively reduce the error propagation in the construction process and achieve the best performance.

Key words： macro discourse analysis structure recognition pointer network XLNet

Received: 20 November 2021

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	Articles by authors
	HE Longwang
	FAN Yaxin
	CHU Xiaomin
	JIANG Feng
	LI Junhui
	LI Peifeng

Cite this article:

HE Longwang,FAN Yaxin,CHU Xiaomin, et al. Bi-directional Parsing Method of Chinese Macro Discourse Based on Pointer Network[J]. , 2022, 36(11): 68-78.

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http://jcip.cipsc.org.cn/EN/ OR http://jcip.cipsc.org.cn/EN/Y2022/V36/I11/68

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