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Algorithm Research & Explore
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2979-2983

Text semantic disambiguation based on SCDV and anisotropy adjusted BERT

Li Baozhen
Gu Xiulian
College of Information Engineering, Nanjing Audit University, Nanjing 211815, China

Abstract

Solving the problem of ambiguity of text words is important for text representation, and it can accurately define the semantic characteristics of words in a specific context. Aiming at the polysemy and contextual characteristics of words, this paper proposed a semantic disambiguation model of SCDVAB. Based on the partition average technology, it could convert scene corpus into document embedding, and introduced anisotropy to improved the sparse composite document vector(SCDV) algorithm of soft clustering to improve the contextual representation ability of BERT, and then it could improve the ability of text semantic disambiguation by embedding the BERT words after adjusting the anisotropy as a static word vector. Experimental results show that SCDVAB model is significantly better than the traditional text disambiguation algorithm. SCDVAB model can effectively improve the comprehensive performance of text semantic disambiguation.

Foundation Support

国家自然科学基金资助项目(72074117,71673122)
江苏现代财税治理协同创新中心资助项目(20WTB007)
江苏省研究生科研创新项目(KYCX21_1948)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.03.0094
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 10
Section: Algorithm Research & Explore
Pages: 2979-2983
Serial Number: 1001-3695(2022)10-014-2979-05

Publish History

[2022-05-16] Accepted Paper
[2022-10-05] Printed Article

Cite This Article

李保珍, 顾秀莲. 基于SCDV及各向异性调整BERT的文本语义消歧方法 [J]. 计算机应用研究, 2022, 39 (10): 2979-2983. (Li Baozhen, Gu Xiulian. Text semantic disambiguation based on SCDV and anisotropy adjusted BERT [J]. Application Research of Computers, 2022, 39 (10): 2979-2983. )

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.

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