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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 41, 2024 No. 11
3288-3294

Distant supervision relation extraction based on multi-level attention mechanism and dynamic threshold

Zhao Hongyan
Zhang Yinggang
Xie Binhong
School of Computer Science & Technology, Taiyuan University of Science & Technology, Taiyuan 030024, China
DOI: 10.19734/j.issn.1001-3695.2024.03.0083

Abstract

Distant supervision relation extraction faces the problem of data quality, that is, the generated dataset has multiple types of noise, noisy words, noisy sentences and noisy bags. Existing research mainly focuses on the noisy sentences, ignoring the impact of other noise, and cannot completely eliminate the noise. To this end, the paper proposed a distant supervision relation extraction model based on multilevel attention mechanism and dynamic thresholding(MADT). The model firstly used a pre-trained language model to obtain entity-pair semantic representations, then obtained semantic features embedded with keyword information through a bidirectional gated recurrent unit and a self-attention mechanism, and then dealt with the three noise problems sequentially in conjunction with the deep contextual representation of the sentence. In addition, the paper proposed a dynamic thresholding method to further remove noisy sentences, enhance the contribution of positive example sentences to the bag representation, and reduce the impact of noisy bags using a semantic similarity-based attention mechanism. Experiments on the NYT10d and NYT10m datasets show that the MADT model is able to address all levels of noise in distant supervision of relation extraction and effectively improve relation extraction performance.

Foundation Support

山西省基础研究计划资助项目(202203021211199)
智能信息处理山西省重点实验室开放基金资助项目(CICIP2022004)
太原科技大学博士科研启动基金资助项目(20212075)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.03.0083
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 11
Section: Algorithm Research & Explore
Pages: 3288-3294
Serial Number: 1001-3695(2024)11-012-3288-07

Publish History

[2024-07-30] Accepted Paper
[2024-11-05] Printed Article

Cite This Article

赵红燕, 张莹刚, 谢斌红. 基于多层级注意力机制和动态阈值的远程监督关系抽取 [J]. 计算机应用研究, 2024, 41 (11): 3288-3294. (Zhao Hongyan, Zhang Yinggang, Xie Binhong. Distant supervision relation extraction based on multi-level attention mechanism and dynamic threshold [J]. Application Research of Computers, 2024, 41 (11): 3288-3294. )

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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