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Joint Event Extraction Based on Hierarchical Event Schemas From FrameNet

文献类型：期刊论文

作者Li, Wei2,3; Cheng, Dezhi2,3; He, Lei1; Wang, Yuanzhuo2,3; Jin, Xiaolong2,3
刊名IEEE ACCESS
出版日期2019
卷号7页码:25001-25015
关键词Event extraction event schema definition information extraction joint inference
ISSN号2169-3536
DOI10.1109/ACCESS.2019.2900124
英文摘要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.
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
语种英语
WOS记录号WOS:000461013700001
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
源URL[http://119.78.100.204/handle/2XEOYT63/4121]  
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.Aston Univ, Engn & Appl Sci Sch, Birmingham B4 7ET, W Midlands, England
2.Univ Chinese Acad Sci, Sch Comp & Control Engn, Beijing 100049, Peoples R China
3.Chinese Acad Sci, Inst Comp Technol, CAS Key Lab Network Sci & Technol, Beijing 100190, Peoples R China
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.

入库方式： OAI收割

来源：计算技术研究所

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