Have a personal or library account? Click to login
Identifying multidisciplinary problems from scientific publications based on a text generation method Cover

Identifying multidisciplinary problems from scientific publications based on a text generation method

Journal of Data and Information Science
Volume 9 (2024): Issue 3 (June 2024)
By: Ziyan Xu,  Hongqi Han,  Linna Li,  Junsheng Zhang and  Zexu Zhou  
Open Access
|Jul 2024

Authors

Ziyan Xu

Institute of Scientific and Technical Information of China, Beijing, China

Hongqi Han

bithhq@163.com

Institute of Scientific and Technical Information of China, Beijing, China

Linna Li

Institute of Scientific and Technical Information of China, Beijing, China

Junsheng Zhang

Institute of Scientific and Technical Information of China, Beijing, China

Zexu Zhou

Institute of Scientific and Technical Information of China, Beijing, China
DOI: https://doi.org/10.2478/jdis-2024-0021 | Journal eISSN: 2543-683X | Journal ISSN: 2096-157X
Journal RSS Feed
Language: English
Page range: 213 - 237
Submitted on: Mar 21, 2024
Accepted on: Jun 28, 2024
Published on: Jul 25, 2024
Published by: Chinese Academy of Sciences, National Science Library
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Problem identification,
Multidisciplinary,
Text generation,
Text classification
Related subjects:
Computer sciences,
Information technology,
Project management,
Databases and data mining

© 2024 Ziyan Xu, Hongqi Han, Linna Li, Junsheng Zhang, Zexu Zhou, published by Chinese Academy of Sciences, National Science Library
This work is licensed under the Creative Commons Attribution 4.0 License.

Previous articleVolume 9 (2024): Issue 3 (June 2024)