A survey of discourse parsing  

作　　者：Jiaqi LI Ming LIU Bing QIN Ting LIU 

机构地区：[1]School of Computer Science and Technology,Harbin Institute of Technology,Harbin 150001,China [2]Peng Cheng Laboratory,Shenzhen 518052,China

出　　处：《Frontiers of Computer Science》2022年第5期85-96,共12页中国计算机科学前沿（英文版）

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).

摘　　要：Discourse parsing is an important research area in natural language processing(NLP),which aims to parse the discourse structure of coherent sentences.In 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 dialogue.For these tasks,we introduce the classical and recent existing methods,especially neural network approaches.After that,we describe the applications of discourse parsing for other NLP tasks,such as machine reading comprehension and sentiment analysis.Finally,we discuss the future trends of the task.

关 键 词：discourse parsing discourse structure RST PDTB STAC 

分 类 号：TP391.1[自动化与计算机技术—计算机应用技术]