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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Bibliographic Details
Main Authors: Xu Ziyan, Han Hongqi, Li Linna, Zhang Junsheng, Zhou Zexu
Format: Article
Language:English
Published: Sciendo 2024-07-01
Series:Journal of Data and Information Science
Subjects:
Online Access:https://doi.org/10.2478/jdis-2024-0021
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