Algorithm Research & Explore
|
386-390

NT clause recognition method based on language model

Zhang Yuyao
Jiang Yuru
Mao Teng
Zhang Yangsen
Institute of Intelligent Information Processing, Beijing Information Science & Technology University, Beijing 100101, China

Abstract

Based on the NT clause theory, this paper carried out the NT clause identification task of punctuation sentences and explored the application effect of the language model in this task. Furthermore, it divided this task into single NT clause identification and sequential NT clauses identification task. In the single NT clause identification task, this paper formalized it into a machine reading comprehension task. From the results, it obtained the accuracy rate of 83.46% on the Fortress Besieged corpus, and reached the accuracy rate of 91.21% in the fish encyclopedia corpus. In the sequential NT clauses identification task, using the single NT model, it fed the punctuation sentences sequence in a pipelined manner and got the sequential NT clauses. The accuracy rate in fish encyclopedia corpus reached 82.03%. The experimental results show that the proposed method can effectively improve the accuracy of Chinese NT clause identification.

Foundation Support

国家自然科学基金资助项目(61602044,61772081)
促进高校内涵发展—研究生科技创新项目(5121911044)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.12.0670
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 2
Section: Algorithm Research & Explore
Pages: 386-390
Serial Number: 1001-3695(2021)02-011-0386-05

Publish History

[2021-02-05] Printed Article

Cite This Article

张禹尧, 蒋玉茹, 毛腾, 等. 基于语言模型的中文话头自足句识别方法 [J]. 计算机应用研究, 2021, 38 (2): 386-390. (Zhang Yuyao, Jiang Yuru, Mao Teng, et al. NT clause recognition method based on language model [J]. Application Research of Computers, 2021, 38 (2): 386-390. )

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  • 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.

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