Structural Dependency Self-attention Based Hierarchical Event Model for Chinese Financial Event Extraction
文献类型：会议论文
| 作者 | Liu Z(刘智)1,3,4,5 ; Xu, Hao5; Wang, Haitao5; Zhou, Dan5; Qi, Guilin2; Sun, Wanqi5; Shen, Shirong2; Zhao, Jiawei5
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| 出版日期 | 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
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| 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 |
| 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.University of Chinese Academy of Sciences, Beijing, China 2.School of Computer Science and Engineering, Southeast University, Nanjing, China 3.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China 4.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, China 5.Zhejiang Lab, Hangzhou, 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. |
入库方式： OAI收割
来源：沈阳自动化研究所
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