Research on Information Extraction Methods for Social Governance Event Description Texts

doi:10.1109/ICCEA62105.2024.10603521

	Research on Information Extraction Methods for Social Governance Event Description Texts
	Wu, Ning; Yan, Pengcheng
	2024
会议名称	5th International Conference on Computer Engineering and Application, ICCEA 2024
会议录名称	2024 5th International Conference on Computer Engineering and Application, ICCEA 2024
页码	727-730
会议日期	April 12, 2024 - April 14, 2024
会议地点	Hybrid, Hangzhou, China
会议录编者/会议主办者	IEEE
出版者	Institute of Electrical and Electronics Engineers Inc.
摘要	The information in the field of social governance has characteristics such as large scale, wide scope, and complex relationships. Entity relationship extraction technology can extract its core information and improve the processing efficiency of staff. This article proposes a pre trained language model remote supervised entity relationship extraction method for this field, aiming to more effectively extract key entities and relationships between entities in social governance events. The experimental results show that compared to other technologies, this method further improves its main performance for information extraction in the field of social governance, providing a more effective solution for information processing and extraction in this field. © 2024 IEEE.
关键词	Data mining Complex relationships Entity relationship extraction Entity-relationship Event description Information extraction methods Knowledge enhancement Large-scales Relationship extraction Remote supervision Social governance
DOI	10.1109/ICCEA62105.2024.10603521
收录类别	EI
语种	英语
EI入藏号	20243316886184
EI主题词	Information retrieval
EI分类号	723.2 Data Processing and Image Processing ; 903.3 Information Retrieval and Use
原始文献类型	Conference article (CA)
文献类型	会议论文
条目标识符	https://ir.nwnu.edu.cn/handle/39RV6HYL/98793
专题	实体学院_计算机科学与工程学院
通讯作者	Yan, Pengcheng
作者单位	Northwest Normal University, College of Computer Science and Engineering, Lanzhou, China
第一作者单位	计算机科学与工程学院
通讯作者单位	计算机科学与工程学院
第一作者的第一单位	计算机科学与工程学院
推荐引用方式 GB/T 7714	Wu, Ning,Yan, Pengcheng. Research on Information Extraction Methods for Social Governance Event Description Texts[C]//IEEE:Institute of Electrical and Electronics Engineers Inc.,2024:727-730.