Identifying multidisciplinary problems from scientific publications based on a text generation method
A text generation based multidisciplinary problem identification method is proposed, which does not rely on a large amount of data annotation.
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| Main Authors: | Xu Ziyan, Han Hongqi, Li Linna, Zhang Junsheng, Zhou Zexu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2024-07-01
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| Series: | Journal of Data and Information Science |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/jdis-2024-0021 |
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