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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 8
2357-2362

Adaptive capsule network for few-shot relation extraction

Zhang Xiaoming1a
Dou Quansheng1b,2
Chen Shuzhen1b
Tang Huanling1b,2
1. a. School of Information & Electronic Engineering, b. School of Computer Science & Technology, Shandong Technology & Business University, Yantai Shandong 264000, China
2. Shandong Future Intelligent Computing Collaborative Innovation Center, Yantai Shandong 264000, China
DOI: 10.19734/j.issn.1001-3695.2021.12.0702

Abstract

The few-shot relationship extraction task is a hot issue in natural language processing. It aims to train the relationship extraction model using low-cost label data. The widely used prototype network has some problems, such as inaccurate and incomplete expression of class prototypes. This paper proposed an adaptive capsule network to solve this problem. ACNet generated a class prototype with the inductive capability of the capsule network. On this basis, it evaluated the dynamic routing process so that it could adjust network parameters adaptively to different samples. At the same time, it introduced a memory iteration mechanism in ACNet to help the model determine the class representation quickly. Experiments on a few-shot relational dataset FewRel show that ACNet can handle few-shot relational extraction tasks.

Foundation Support

国家自然科学基金资助项目(61976124,61976125)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.12.0702
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 8
Section: Algorithm Research & Explore
Pages: 2357-2362
Serial Number: 1001-3695(2022)08-020-2357-06

Publish History

[2022-03-25] Accepted Paper
[2022-08-05] Printed Article

Cite This Article

张晓明, 窦全胜, 陈淑振, 等. 面向小样本关系抽取的自适应胶囊网络 [J]. 计算机应用研究, 2022, 39 (8): 2357-2362. (Zhang Xiaoming, Dou Quansheng, Chen Shuzhen, et al. Adaptive capsule network for few-shot relation extraction [J]. Application Research of Computers, 2022, 39 (8): 2357-2362. )

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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