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

Ziyan Xu

Ziyan Xu

Institute of Scientific and Technical Information of ChinaBeijing, China
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Xu, Ziyan
, 
Hongqi Han

Hongqi Han

Institute of Scientific and Technical Information of ChinaBeijing, China
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Han, Hongqi
, 
Linna Li

Linna Li

Institute of Scientific and Technical Information of ChinaBeijing, China
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Li, Linna
, 
Junsheng Zhang

Junsheng Zhang

Institute of Scientific and Technical Information of ChinaBeijing, China
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Zhang, Junsheng
 and 
Zexu Zhou

Zexu Zhou

Institute of Scientific and Technical Information of ChinaBeijing, China
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Zhou, Zexu
  
Jul 25, 2024
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Article Category: Research Papers
Published Online: Jul 25, 2024
Page range: 213 - 237
Received: Mar 21, 2024
Accepted: Jun 28, 2024
DOI: https://doi.org/10.2478/jdis-2024-0021
Keywords
© 2024 Ziyan Xu et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
Xu, Ziyan
Institute of Scientific and Technical Information of ChinaBeijing, China
Han, Hongqi
Institute of Scientific and Technical Information of ChinaBeijing, China
Li, Linna
Institute of Scientific and Technical Information of ChinaBeijing, China
Zhang, Junsheng
Institute of Scientific and Technical Information of ChinaBeijing, China
Zhou, Zexu
Institute of Scientific and Technical Information of ChinaBeijing, China
Language:
English
Publication timeframe:
4 times per year
Journal Subjects:
Computer Sciences, Information Technology, Project Management, Databases and Data Mining
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