QA4IE: A Question Answering Based Framework for Information Extraction

doi:10.1007/978-3-030-00671-6_12

	QA4IE: A Question Answering Based Framework for Information Extraction
	Qiu, Lin 1; Zhou, Hao 1; Qu, Yanru 1; Zhang, Weinan 1; Li, Suoheng 2; Rong, Shu 2; Ru, Dongyu 1; Qian, Lihua 1; Tu, Kewei3 ; Yu, Yong 1
	2018
会议录名称	SEMANTIC WEB - ISWC 2018, PT I
卷号	11136
页码	198-216
发表状态	已发表
DOI	10.1007/978-3-030-00671-6_12
摘要	Information Extraction (IE) refers to automatically extracting structured relation tuples from unstructured texts. Common IE solutions, including Relation Extraction (RE) and open IE systems, can hardly handle cross-sentence tuples, and are severely restricted by limited relation types as well as informal relation specifications (e.g., free-text based relation tuples). In order to overcome these weaknesses, we propose a novel IE framework named QA4IE, which leverages the flexible question answering (QA) approaches to produce high quality relation triples across sentences. Based on the framework, we develop a large IE benchmark with high quality human evaluation. This benchmark contains 293K documents, 2M golden relation triples, and 636 relation types. We compare our system with some IE baselines on our benchmark and the results show that our system achieves great improvements.
会议地点	Monterey, CA, United states
收录类别	EI ; CPCI-S ; CPCI
语种	英语
资助项目	Shanghai Sailing Program[17YF1428200]
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence ; Computer Science, Information Systems ; Computer Science, Theory & Methods
WOS记录号	WOS:000476939700012
出版者	SPRINGER INTERNATIONAL PUBLISHING AG
EI入藏号	20184205957780
EI主题词	Benchmarking ; Information retrieval ; Natural language processing systems
EI分类号	Computer Software, Data Handling and Applications:723 ; Data Processing and Image Processing:723.2 ; Information Science:903 ; Information Retrieval and Use:903.3
WOS关键词	DBPEDIA ; WEB
原始文献类型	Proceedings Paper
引用统计
文献类型	会议论文
条目标识符	https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/28664
专题	信息科学与技术学院_PI研究组_屠可伟组
通讯作者	Qiu, Lin
作者单位	1.Shanghai Jiao Tong Univ, Shanghai, Peoples R China 2.Yitu Tech, Shanghai, Peoples R China 3.ShanghaiTech Univ, Shanghai, Peoples R China
推荐引用方式 GB/T 7714	Qiu, Lin,Zhou, Hao,Qu, Yanru,et al. QA4IE: A Question Answering Based Framework for Information Extraction[C]:SPRINGER INTERNATIONAL PUBLISHING AG,2018:198-216.