Focus-sensitive relation disambiguation for implicit discourse relation detection
作者机构：Natural Language Processing LabSchool of Computer Science&TechnologySoochow UniversitySuzhou 215006China Science and Technology on Information Systems Engineering LaboratoryNanjing 210007China
出 版 物：《Frontiers of Computer Science》 (中国计算机科学前沿（英文版）)
年 卷 期：2019年第13卷第6期
页 面：1266-1281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：supported by the National Natural Science Foundation of China(Grant Nos.61672368,61373097,61672367,61331011) the Research Foundation of the Ministry of Education and China Mobile(MCM20150602) Natural Science Foundation of Jiangsu(BK20151222)
主 题：Implicit discourse relation focus-sensitive implicit relation disambiguation topic-driven focus identification
摘 要：We study implicit discourse relation detection,which is one of the most challenging tasks in the field of discourse *** specialize in ambiguous implicit discourse relation,which is an imperceptible linguistic phenomenon and therefore difficult to identify and *** this paper,we first create a novel task named implicit discourse relation disambiguation(IDRD).Second,we propose a focus-sensitive relation disambiguation model that affirms a truly-correct relation when it is triggered by focal sentence *** addition,we specifically develop a topicdriven focus identification method and a relation search system(RSS)to support the relation ***,we improve current relation detection systems by using the disambiguation *** on the penn discourse treebank(PDTB)show promising improvements.
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