Structural Dependency Self-attention Based Hierarchical Event Model for Chinese Financial Event Extraction

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	Structural Dependency Self-attention Based Hierarchical Event Model for Chinese Financial Event Extraction
	Liu Z(刘智)2,3,4,5; Xu, Hao 2; Wang, Haitao 2; Zhou, Dan 2; Qi, Guilin 1; Sun, Wanqi 2; Shen, Shirong 1; Zhao, Jiawei 2
	2021
会议日期	November 4-7, 2021
会议地点	Guangzhou, China
关键词	Structural dependency Hierarchical event representation Financial event extraction Document event extraction
页码	76-88
英文摘要	Document-level event extraction (DEE) now draws a huge amount of researchers’ attention. Not only the researches on sentence-level event extraction have obtained a great progress, but researchers realize that an event is usually described by multiple sentences in a document especially for fields such as finance, medicine, and judicature. Several document-level event extraction models are proposed to solve this task and obtain improvements on DEE task in recent years. However, we noticed that these models fail to exploit the entity dependency information of trigger and arguments, which ignore the dependency information between arguments, and between the trigger and arguments especially for financial domain. For DEE task, a model needs to extract the event-related entities, i.e., trigger and arguments, and predicts its corresponding roles. Thus, the entity dependency information between trigger and argument, and between arguments are essential. In this work, we define 8 types of structural dependencies and propose a document-level Chinese financial event extraction model called SSA-HEE, which explicitly explores the structure dependency information of candidate entities and improves the model’s ability to identify the relevance of entities. The experimental results show the effectiveness of the proposed model.
产权排序	1
会议录	Knowledge Graph and Semantic Computing: Knowledge Graph Empowers New Infrastructure Construction - 6th China Conference, CCKS 2021, Proceedings
会议录出版者	Springer Science and Business Media Deutschland GmbH
会议录出版地	Berlin
语种	英语
ISSN号	1865-0929
ISBN号	978-981-16-6470-0
内容类型	会议论文
源URL	[http://ir.sia.cn/handle/173321/29953]
专题	沈阳自动化研究所_数字工厂研究室
通讯作者	Wang, Haitao
作者单位	1.School of Computer Science and Engineering, Southeast University, Nanjing, China 2.Zhejiang Lab, Hangzhou, China 3.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, China 4.University of Chinese Academy of Sciences, Beijing, China 5.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
推荐引用方式 GB/T 7714	Liu Z,Xu, Hao,Wang, Haitao,et al. Structural Dependency Self-attention Based Hierarchical Event Model for Chinese Financial Event Extraction[C]. 见:. Guangzhou, China. November 4-7, 2021.