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Automatic Keyphrase Extraction from Scientific Chinese Medical Abstracts Based on Character-Level Sequence Labeling Cover

Automatic Keyphrase Extraction from Scientific Chinese Medical Abstracts Based on Character-Level Sequence Labeling

Journal of Data and Information Science
Volume 6 (2021): Issue 3 (June 2021)
By: Liangping Ding,  Zhixiong Zhang,  Huan Liu,  Jie Li and  Gaihong Yu  
Open Access
|Mar 2021

Authors

Liangping Ding

National Science Library, Chinese Academy of Sciences, Beijing, China
University of Chinese academy of sciences, Beijing, China

Zhixiong Zhang

zhangzhx@mail.las.ac.cn

National Science Library, Chinese Academy of Sciences, Beijing, China
University of Chinese academy of sciences, Beijing, China
Wuhan Library, Chinese Academy of Sciences, Wuhan, China

Huan Liu

National Science Library, Chinese Academy of Sciences, Beijing, China
University of Chinese academy of sciences, Beijing, China

Jie Li

National Science Library, Chinese Academy of Sciences, Beijing, China
University of Chinese academy of sciences, Beijing, China

Gaihong Yu

National Science Library, Chinese Academy of Sciences, Beijing, China
University of Chinese academy of sciences, Beijing, China
DOI: https://doi.org/10.2478/jdis-2021-0013 | Journal eISSN: 2543-683X | Journal ISSN: 2096-157X
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Language: English
Page range: 35 - 57
Submitted on: Oct 31, 2020
Accepted on: Jan 15, 2021
Published on: Mar 2, 2021
Published by: Chinese Academy of Sciences, National Science Library
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Automatic keyphrase extraction,
Character-level sequence labeling,
Pretrained language model,
Scientific chinese medical abstracts
Related subjects:
Computer sciences,
Information technology,
Project management,
Databases and data mining

© 2021 Liangping Ding, Zhixiong Zhang, Huan Liu, Jie Li, Gaihong Yu, published by Chinese Academy of Sciences, National Science Library
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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