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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 5
1327-1330,1343

Research on relation detection based on adversarial learning and global knowledge information

Wang Yongchaoa
Yang Yingbaob
Cao Yub
Xing Weib
a. Center of Information & Technology, b. Institute of Computer Science, Zhejiang University, Hangzhou 310027, China
DOI: 10.19734/j.issn.1001-3695.2020.07.0177

Abstract

Aiming at the problem of out-of-vocabulary due to the fact that the existing knowledge base relationship detection task are unable to achieve accurate vector representation for some invisible relationships, this paper proposed a relationship detection model based on adversarial learning and global knowledge information. The model used adversarial learning to enhance the characteristics of the relational representation model of the knowledge base, and used the TransH model to extract global knowledge information. At the same time, through joint training, it integrated the global knowledge information into the relational representation model to further improve the representation ability of the relational model. The experimental results show that the proposed fusion model improves the effect of relationship detection and alleviates the problem of out-of-vocabulary.

Foundation Support

国家重点研发计划资助项目(2019YFC1521304,2020YFC1523101)
浙江省科技计划项目(2019C03137)
浙江省重点研发计划资助项目(2018C03051,2021C03140)
石窟寺文物数字化保护国家文物局重点科研基地资助项目

Publish Information

DOI: 10.19734/j.issn.1001-3695.2020.07.0177
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 5
Section: Algorithm Research & Explore
Pages: 1327-1330,1343
Serial Number: 1001-3695(2021)05-008-1327-04

Publish History

[2021-05-05] Printed Article

Cite This Article

王勇超, 杨英宝, 曹钰, 等. 基于对抗学习和全局知识信息的关系检测技术研究 [J]. 计算机应用研究, 2021, 38 (5): 1327-1330,1343. (Wang Yongchao, Yang Yingbao, Cao Yu, et al. Research on relation detection based on adversarial learning and global knowledge information [J]. Application Research of Computers, 2021, 38 (5): 1327-1330,1343. )

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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