Joint Event Extraction Based on Hierarchical Event Schemas From FrameNet

doi:10.1109/ACCESS.2019.2900124

	Joint Event Extraction Based on Hierarchical Event Schemas From FrameNet
	Li, Wei 1,2; Cheng, Dezhi 1,2; He, Lei 3; Wang, Yuanzhuo 1,2; Jin, Xiaolong 1,2
	2019
发表期刊	IEEE ACCESS
ISSN	2169-3536
卷号	7 页码:25001-25015
摘要	Event extraction is useful for many practical applications, such as news summarization and information retrieval. However, the popular automatic context extraction (ACE) event extraction program only defines very limited and coarse event schemas, which may not be suitable for practical applications. FrameNet is a linguistic corpus that defines complete semantic frames and frame-to-frame relations. As frames in FrameNet share highly similar structures with event schemas in ACE and many frames actually express events, we propose to redefine the event schemas based on FrameNet. Specifically, we extract frames expressing event information from FrameNet and leverage the frame-to-frame relations to build a hierarchy of event schemas that are more fine-grained and have much wider coverage than ACE. Based on the new event schemas, we propose a joint event extraction approach that leverages the hierarchical structure of event schemas and frame-to-frame relations in FrameNet. The extensive experiments have verified the advantages of our hierarchical event schemas and the effectiveness of our event extraction model. We further apply the results of our event extraction model on news summarization. The results show that the summarization approach based on our event extraction model achieves significant better performance than several state-of-the-art summarization approaches, which also demonstrates that the hierarchical event schemas and event extraction model are promising to be used in the practical applications.
关键词	Event extraction event schema definition information extraction joint inference
DOI	10.1109/ACCESS.2019.2900124
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[U1836206] ; National Natural Science Foundation of China[61572469] ; National Natural Science Foundation of China[91646120] ; National Natural Science Foundation of China[61772501] ; National Natural Science Foundation of China[61572473]
WOS研究方向	Computer Science ; Engineering ; Telecommunications
WOS类目	Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications
WOS记录号	WOS:000461013700001
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：23[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/2XEOYT63/4122
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Wang, Yuanzhuo
作者单位	1.Chinese Acad Sci, Inst Comp Technol, CAS Key Lab Network Sci & Technol, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Sch Comp & Control Engn, Beijing 100049, Peoples R China 3.Aston Univ, Engn & Appl Sci Sch, Birmingham B4 7ET, W Midlands, England
推荐引用方式 GB/T 7714	Li, Wei,Cheng, Dezhi,He, Lei,et al. Joint Event Extraction Based on Hierarchical Event Schemas From FrameNet[J]. IEEE ACCESS,2019,7:25001-25015.
APA	Li, Wei,Cheng, Dezhi,He, Lei,Wang, Yuanzhuo,&Jin, Xiaolong.(2019).Joint Event Extraction Based on Hierarchical Event Schemas From FrameNet.IEEE ACCESS,7,25001-25015.
MLA	Li, Wei,et al."Joint Event Extraction Based on Hierarchical Event Schemas From FrameNet".IEEE ACCESS 7(2019):25001-25015.