Rhetorical structure theory: A comprehensive review of theory, parsing methods and applications

doi:10.1016/j.eswa.2020.113421

	Rhetorical structure theory: A comprehensive review of theory, parsing methods and applications
	Hou, Shengluan 1,2; Zhang, Shuhan 1,2; Fei, Chaoqun 1,2
	2020-11-01
发表期刊	EXPERT SYSTEMS WITH APPLICATIONS
ISSN	0957-4174
卷号	157 页码:16
摘要	Rhetorical structure theory (RST) is a significant theory about discourse organization. With an increasing number of research interests focus on RST, many novel parsing approaches have been proposed and motivated many brand new applications, such as chatbots and other expert and intelligent systems. However, the work on RST dates back many years and there remains a lack of comprehensive literature reviews. The aim of this study is therefore to provide a comprehensive overview of RST, parsing methods and applications. In this paper, we first give a detailed introduction to RST. Then the commonly used discourse treebank: RST-DT is elaborated. We propose a new taxonomy to divide the RST parsing methods into different categories. With a focus on the classical and latest methods that have recently been developed, we review the pros and cons of these approaches, along with the performance analysis of them. We then summarize the applications of RST across various domains. Moreover, we present a comparative study of RST with other discourse structure theories. Finally, we discuss some implications of our findings and outline future research directions in this challenging and fast-growing field. (C) 2020 Elsevier Ltd. All rights reserved.
关键词	Rhetorical structure theory Discourse structure RST parsing Machine learning Natural language processing Text summarization
DOI	10.1016/j.eswa.2020.113421
收录类别	SCI
语种	英语
资助项目	National Key Research and Development Program of China[2016YFB1000902] ; National Natural Science Foundation of China[61232015] ; National Natural Science Foundation of China[61472412] ; National Natural Science Foundation of China[61621003]
WOS研究方向	Computer Science ; Engineering ; Operations Research & Management Science
WOS类目	Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic ; Operations Research & Management Science
WOS记录号	WOS:000548587800003
出版者	PERGAMON-ELSEVIER SCIENCE LTD
引用统计	被引频次：15[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/15925
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Hou, Shengluan
作者单位	1.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式 GB/T 7714	Hou, Shengluan,Zhang, Shuhan,Fei, Chaoqun. Rhetorical structure theory: A comprehensive review of theory, parsing methods and applications[J]. EXPERT SYSTEMS WITH APPLICATIONS,2020,157:16.
APA	Hou, Shengluan,Zhang, Shuhan,&Fei, Chaoqun.(2020).Rhetorical structure theory: A comprehensive review of theory, parsing methods and applications.EXPERT SYSTEMS WITH APPLICATIONS,157,16.
MLA	Hou, Shengluan,et al."Rhetorical structure theory: A comprehensive review of theory, parsing methods and applications".EXPERT SYSTEMS WITH APPLICATIONS 157(2020):16.