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A Method of Collecting Four Character Medicine Effect Phrases in TCM Patents Based on Semi-supervised Learning

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Abstract

As a result of historical reasons and writing habits, the effects of medicine in Traditional Chinese Medicine (TCM) patents are often described using four character phrases. These four character phrases are not easily identified by the Chinese word segmentation system, thus greatly affects the results of patent analysis and mining. This paper proposes a semi-supervised learning method to collect four character effect phrases from the abstracts texts of TCM patents, which can help enrich the lexicon of Chinese word segmentation system, and also provide support for semantic patent retrieval and analysis. The experimental results show the validity of the method.

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Acknowledgments

This research is supported by National Key Research and Development Program of China under grant number 2017YFC1405403, National Natural Science Foundation of China under grant number 61075059, Green Industry Technology Leding Project (product development category) of Hubei University of Technology under grant number CPYF2017008, Natural Science Foundation of Anhui Province under grant number 1708085MF161, and Key Project of Natural Science Research of Universities in Anhui under grant number KJ2015A236.

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Authors and Affiliations

  1. School of Computer, Hubei University of Technology, Wuhan, China

    Deng Na, Xiong Caiquan, Wang Chunzhi, Zhang Mingwu & Ye Zhiwei

  2. School of Information and Safety Engineering, Zhongnan University of Economics and Law, Wuhan, China

    Chen Xu

  3. College of Mathematics, Physics and Information Engineering, Anhui Science and Technology University, Fengyang, China

    Li Desheng

  4. China Unicom Research Institute, Beijing, China

    Yang Xuehong

Authors
  1. Deng Na
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  2. Chen Xu
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  3. Xiong Caiquan
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  4. Wang Chunzhi
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  5. Zhang Mingwu
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  6. Ye Zhiwei
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  7. Li Desheng
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  8. Yang Xuehong
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Corresponding author

Correspondence to Chen Xu .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Fukuoka Institute of Technology, Faculty of Information Engineering, Fukuoka, Japan

    Leonard Barolli

  2. School of Software, University of Technology Sydney (UTS), Ultimo, NSW, Australia

    Farookh Khadeer Hussain

  3. Department of Information and Communication Engineering, Fukuoka Institute of Technology, Faculty of Information Engineering, Fukuoka, Japan

    Makoto Ikeda

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Na, D. et al. (2020). A Method of Collecting Four Character Medicine Effect Phrases in TCM Patents Based on Semi-supervised Learning. In: Barolli, L., Hussain, F., Ikeda, M. (eds) Complex, Intelligent, and Software Intensive Systems. CISIS 2019. Advances in Intelligent Systems and Computing, vol 993. Springer, Cham. https://doi.org/10.1007/978-3-030-22354-0_41

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