A survey of discourse parsing

作     者：Jiaqi LI Ming LIU Bing QIN Ting LIU Jiaqi LI;Ming LIU;Bing QIN;Ting LIU

作者机构：School of Computer Science and TechnologyHarbin Institute of TechnologyHarbin 150001China Peng Cheng LaboratoryShenzhen 518052China 

出 版 物：《Frontiers of Computer Science》 (中国计算机科学前沿（英文版）)

年 卷 期：2022年第16卷第5期

页      面：85-96页

核心收录：

学科分类：081203[工学-计算机应用技术] 08[工学] 0835[工学-软件工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：The research in this article is supported by the Science and Technology Innovation 2030-“New Generation Artificial Intelligence”Major Project(2018AA0101901) the National Key Research and Development Project(2018YFB1005103) the National Natural Science Foundation of China(Grant Nos.61772156 and 61976073) Shenzhen Foundational Research Funding(JCYJ20200109113441941) the Foundation of Heilongjiang Province(F2018013) 

主　　题：discourse parsing discourse structure RST PDTB STAC 

摘      要：Discourse parsing is an important research area in natural language processing(NLP),which aims to parse the discourse structure of coherent *** this survey,we introduce several different kinds of discourse parsing tasks,mainly including RST-style discourse parsing,PDTB-style discourse parsing,and discourse parsing for multiparty *** these tasks,we introduce the classical and recent existing methods,especially neural network *** that,we describe the applications of discourse parsing for other NLP tasks,such as machine reading comprehension and sentiment ***,we discuss the future trends of the task.