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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 2
417-423

Cross language relationship extraction method based on attention transfer

Wu Jing1
Yang Bailong1
Tian Luogeng1,2
1. Dept. of Information & Communication Engineering, Rocket Force University of Engineering, Xi'an 710000, China
2. Dept. of Information & Communication, National University of Defense Technology, Xi'an 710000, China
DOI: 10.19734/j.issn.1001-3695.2021.07.0317

Abstract

Aiming at the problem of increasingly rich multilingual texts and lack of large-scale labeled parallel corpora on the Internet, in order to mine the relevance between languages from multilingual information sources and expand the knowledge map, this paper proposed a cross language relationship extraction method based on attention transfer. Firstly, according to the actual parallel corpus between languages, it classified the cross language parallel corpus mapping, and for the low resource language pairs lacking seed dictionaries, it proposed a neural network translation model to obtain the target language data set and save the corresponding attention weight relationship between multiple languages, and then it extracted the entity relationship feature of training data by using BERT end-to-end joint extraction model. Finally, it used the reverse transferred attention to extract the enhanced relationship. Experiments show that the relationship extraction effect of this model is better than other models in accuracy and regression, and also shows better performance in the absence of bilingual dictionary.

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.07.0317
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 2
Section: Algorithm Research & Explore
Pages: 417-423
Serial Number: 1001-3695(2022)02-016-0417-07

Publish History

[2021-11-13] Accepted Paper
[2022-02-05] Printed Article

Cite This Article

吴婧, 杨百龙, 田罗庚. 基于注意力迁移的跨语言关系抽取方法 [J]. 计算机应用研究, 2022, 39 (2): 417-423. (Wu Jing, Yang Bailong, Tian Luogeng. Cross language relationship extraction method based on attention transfer [J]. Application Research of Computers, 2022, 39 (2): 417-423. )

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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