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Identification of Botany Terminology Based on Bert-BLSTM-CRF

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Artificial Intelligence and Security (ICAIS 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12240))

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Abstract

Based on Baidu encyclopedia and CNKI botanical classification standards, we classify botanical terms into five categories in this paper: plant morphology and classification, plant ecology and geography, phytochemistry, plant heredity, plant technology and methods. In view of the difficulties in terms identification, we use a deep learning entity recognition model based on Bert-BLSTM-CRF to identify terms from large-scale corpus. In this paper, the Bert-BLSTM-CRF model is used to identify the professional terms in the field of botany, with an accuracy rate of 89.58%, a recall rate of 87.92% and an F1 value of 89.25%, indicating that the model could be effectively applied to the task of identifying the professional terms in botany. Based on the existing corpus, a comparative experiment is carried out in this paper, and the experimental results show that the model improves the recognition effect of professional terms in the field of botany.

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Authors and Affiliations

  1. School of Computer and Communication Engineering, University of Science and Technology, Beijing, Beijing, 100083, China

    Aziguli Wulamu, Lijia Yang, Li Wang & Jiaxing Shi

  2. Beijing Key Laboratory of Knowledge Engineering for Materials Science, Beijing, 100083, China

    Aziguli Wulamu, Lijia Yang & Jiaxing Shi

  3. XINJIANG Research Institute of Building Sciences (Co. Ltd.), Beijing, 100083, China

    Ning Chen

  4. School of Automation and Electrical Engineering, University of Science and Technology, Beijing, Beijing, 100083, China

    Li Wang

Authors
  1. Aziguli Wulamu
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  2. Ning Chen
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  3. Lijia Yang
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  4. Li Wang
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  5. Jiaxing Shi
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Corresponding author

Correspondence to Li Wang .

Editor information

Editors and Affiliations

  1. Nanjing University of Information Science, Nanjing, China

    Xingming Sun

  2. Nanjing University of Information Science, Nanjing, China

    Jinwei Wang

  3. Purdue University, West Lafayette, IN, USA

    Elisa Bertino

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Wulamu, A., Chen, N., Yang, L., Wang, L., Shi, J. (2020). Identification of Botany Terminology Based on Bert-BLSTM-CRF. In: Sun, X., Wang, J., Bertino, E. (eds) Artificial Intelligence and Security. ICAIS 2020. Lecture Notes in Computer Science(), vol 12240. Springer, Cham. https://doi.org/10.1007/978-3-030-57881-7_41

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  • DOI: https://doi.org/10.1007/978-3-030-57881-7_41

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-57880-0

  • Online ISBN: 978-3-030-57881-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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