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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 1
91-96

Joint event extraction method based on soft parameter sharing

Feng Xingjiea
Zhao Xinyanga
Feng Xiaorongb
a. College of Computer Science & Technology, b. College of Air Traffic Management, Civil Aviation University of China, Tianjin 300300, China
DOI: 10.19734/j.issn.1001-3695.2022.06.0252

Abstract

Event extraction is an important information extraction task, which aims to extract event information from text. Most of the current event joint extraction methods based on multi-task learning are based on hard parameter sharing, which often leads to the seesaw phenomenon, in which the performance of one task tends to improve at the expense of the performance of another. In order to solve this problem, this paper proposed a method based on soft parameter sharing, this method clearly separated shared parameters and task-specific parameters, and enhanced the ability of model extraction and screening semantic knowledge through a double-layer gated network, so that the model could learn the appropriate feature representation for both tasks at the same time, and realized more efficient information sharing and jointed representation learning. This paper conducted experiments on the DuEE 1.0 public dataset, using accuracy, recall, and F1 values as evaluation indicators, and through the contrast experiment and the ablation experiments verify the effectiveness of the method. The F1 value of event recognition task is improved by 2.0%, and the F1 value of argument role classification task is improved by 0.9% compared with the joint extraction model based on hard parameter sharing, which effectively alleviated the emergence of seesaw phenomenon and verified the effectiveness of the method.

Foundation Support

国家重点研发计划课题项目(2020YFB1600101)
国家自然基金重点项目(U2133207)
中央高校基本科研业务费项目(3122020052)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.06.0252
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 1
Section: Algorithm Research & Explore
Pages: 91-96
Serial Number: 1001-3695(2023)01-015-0091-06

Publish History

[2022-08-29] Accepted Paper
[2023-01-05] Printed Article

Cite This Article

冯兴杰, 赵新阳, 冯小荣. 基于软参数共享的事件联合抽取方法 [J]. 计算机应用研究, 2023, 40 (1): 91-96. (Feng Xingjie, Zhao Xinyang, Feng Xiaorong. Joint event extraction method based on soft parameter sharing [J]. Application Research of Computers, 2023, 40 (1): 91-96. )

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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