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System Development & Application
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 11
3359-3362,3367

Chinese medicine literature word segmentation based on BiLSTM-CRF

Wang Lijun1,2
Zhou Yue3
Gui Jie1
Zhai Yun4
1. Institute of Scientific & Technical Information of China, Beijing 100038, China
2. Key Laboratory of Rich-Media Knowledge Organization & Service of Digital Publishing Content, Beijing 100038, China
3. University of Science & Technology Beijing, Beijing 100083, China
4. E-Government Research Center, Party School of the Central Committee of C. P. C(National Academy of Governance), Beijing 100089, China
DOI: 10.19734/j.issn.1001-3695.2019.06.0286

Abstract

Because of the cumbersome content of traditional Chinese medicine literature, many professional terms, and various writing methods like classical Chinese, the use of word segmentation in general fields is less effective. In order to solve this problem, this paper constructed the BiLSTM-CRF model to segment the literature in the field of Chinese medicine, especially the classical Chinese medicine literature. This paper compared the results of the BiLSTM-CRF model and the Bi-LSTM model and the segmentation results of the mainstream common Chinese word segmenters jieba and Ansj in the literature of traditional Chinese medicine. The results show that the segmentation based on BiLSTM-CRF model achieves better classification performance and robustness.

Foundation Support

中国工程科技知识中心建设项目(CKCEST-2019-2-2)
中信所重点工作项目(ZD2019-10)
国家自然科学基金资助项目(61672178)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.06.0286
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 11
Section: System Development & Application
Pages: 3359-3362,3367
Serial Number: 1001-3695(2020)11-032-3359-04

Publish History

[2020-11-05] Printed Article

Cite This Article

王莉军, 周越, 桂婕, 等. 基于BiLSTM-CRF的中医文言文文献分词模型研究 [J]. 计算机应用研究, 2020, 37 (11): 3359-3362,3367. (Wang Lijun, Zhou Yue, Gui Jie, et al. Chinese medicine literature word segmentation based on BiLSTM-CRF [J]. Application Research of Computers, 2020, 37 (11): 3359-3362,3367. )

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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