Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 4
1060-1063,1098

Natural language sentence matching method fusion of high-level and low-level semantic information

Jiang Kexin
Zhao Yahui
Cui Rongyi
Intelligent Information Processing Laboratory, Yanbian University, Yanji Jilin 133002, China
DOI: 10.19734/j.issn.1001-3695.2021.09.0397

Abstract

This paper proposed a natural language sentence matching method that combined high-level and low-level semantic information to solve the problems about current natural language sentence matching method fail to integrate common semantic information and it is difficult to capture deep-semantic information. First of all, the method used pre-trained word vector GloVe and character-level word vector to obtained the word embedding representation of sentence P and sentence Q. Secondly, this paper encodered P and Q with bidirectional LSTM, then it contained low-level semantic information through preliminary fusion of P and Q. Thirdly, this paper calculated bidirectional attention between P and Q, then spliced them together to get semantic representation, afterwards it calculated its self-attention to obtained high-level semantic information. Finally, this paper used a heuristic fusion function to fuse the low-level semantic information with the high-level semantic information to obtain the final semantic representation, and it used a convolutional neural network to prediction answers. This paper evaluated the proposed model on two tasks, such as recognition textual entailment, paraphrase recognition. This paper conducted experiments on the SNLI dataset and the Quora dataset. The results show that the accuracy of the proposed algorithm on the SNLI test set is 87.1%, and the accuracy of the Quora test set is 86.8 %, which verifies the effectiveness of the algorithm in the task of natural language sentence matching.

Foundation Support

国家语委“十三五”科研项目(YB135-76)
延边大学外国语言文学一流学科建设资助项目(18YLPY13)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.09.0397
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 4
Section: Algorithm Research & Explore
Pages: 1060-1063,1098
Serial Number: 1001-3695(2022)04-017-1060-04

Publish History

[2021-11-28] Accepted Paper
[2022-04-05] Printed Article

Cite This Article

姜克鑫, 赵亚慧, 崔荣一. 融合高低层语义信息的自然语言句子匹配方法 [J]. 计算机应用研究, 2022, 39 (4): 1060-1063,1098. (Jiang Kexin, Zhao Yahui, Cui Rongyi. Natural language sentence matching method fusion of high-level and low-level semantic information [J]. Application Research of Computers, 2022, 39 (4): 1060-1063,1098. )

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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