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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 12
3598-3604

Model-reused method of two-stage relations and entities extraction with prompt tuning

Su Hang
Hu Yahao
Xie Yifei
Pan Zhisong
College of Command & Control Engineering, Army Engineering University of PLA, Nanjing 210007, China
DOI: 10.19734/j.issn.1001-3695.2022.05.0245

Abstract

Extraction of entities and relations aims to identify named entities and extract semantic relationships between them from unstructured text. The existing two-stage relations and entities extraction methods are difficult to reuse models in different stages and need to tune large number of parameters which are not applicable to actual application scenarios. This paper used prompt tuning to improve existing method and proposed REPT(a model-reused method of two-staged relations and entities extraction with prompt tuning). The method used fine-tuned pretrained language model for relational classification and then extracted entities by prompt tuning based on pretrained language model fine-tuned in the first stage. Experimental results show that REPT can reuse the pretrained language model and achieve comparable performance with the SOTA model, while the tuning parameters are only 50% of the baseline models.

Foundation Support

国家自然科学基金资助项目

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.05.0245
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 12
Section: Algorithm Research & Explore
Pages: 3598-3604
Serial Number: 1001-3695(2022)12-011-3598-07

Publish History

[2022-08-09] Accepted Paper
[2022-12-05] Printed Article

Cite This Article

苏杭, 胡亚豪, 谢艺菲, 等. 利用提示调优实现两阶段模型复用的关系实体抽取方法 [J]. 计算机应用研究, 2022, 39 (12): 3598-3604. (Su Hang, Hu Yahao, Xie Yifei, et al. Model-reused method of two-stage relations and entities extraction with prompt tuning [J]. Application Research of Computers, 2022, 39 (12): 3598-3604. )

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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