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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 41, 2024 No. 8
2329-2335

Document level event extraction based on multi granularity readers and graph attention networks

Xue Songdong
Li Yonghao
Zhao Hongyan
School of Computer Science & Technology, Taiyuan University of Science & Technology, Taiyuan 030024, China
DOI: 10.19734/j.issn.1001-3695.2024.01.0001

Abstract

Document level event extraction faces two major challenges: argument dispersion and multiple events. Most exis-ting work adopts the method of extracting candidate arguments sentence by sentence, which makes it difficult to model contextual information across sentences. Therefore, this paper proposed a document level event extraction model based on multi granularity readers and graph attention networks. It used multi-granularity readers to achieve multi-level semantic encoding, and used the graph attention network to capture local and global relations between entity pairs. It constructed a pruned complete graph based on entity pair similarity as a pseudo trigger to comprehensively capture events and arguments in the document. Experiments conducted on the public datasets of ChFinAnn and DuEE-Fin show that the proposed method improves the problem of argument dispersion and enhances model's event extraction performance.

Foundation Support

山西省基础研究计划资助项目(202203021211199)
智能信息处理山西省重点实验室开放基金资助项目(CICIP2022004)
太原科技大学博士科研启动基金资助项目(20212075)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.01.0001
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 8
Section: Algorithm Research & Explore
Pages: 2329-2335
Serial Number: 1001-3695(2024)08-012-2329-07

Publish History

[2024-03-07] Accepted Paper
[2024-08-05] Printed Article

Cite This Article

薛颂东, 李永豪, 赵红燕. 基于多粒度阅读器和图注意力网络的文档级事件抽取 [J]. 计算机应用研究, 2024, 41 (8): 2329-2335. (Xue Songdong, Li Yonghao, Zhao Hongyan. Document level event extraction based on multi granularity readers and graph attention networks [J]. Application Research of Computers, 2024, 41 (8): 2329-2335. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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