A study of BERT-based methods for formal citation identification of scientific data
Crossref DOI link: https://doi.org/10.1007/s11192-023-04833-z
Published Online: 2023-09-16
Published Print: 2023-11
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Yang, Ning http://orcid.org/0000-0001-9121-4458
Zhang, Zhiqiang
Huang, Feihu
Text and Data Mining valid from 2023-09-16
Version of Record valid from 2023-09-16
Article History
Received: 18 June 2021
Accepted: 6 September 2023
First Online: 16 September 2023
Declarations
:
: The authors declared that they have no conflicts of interest to this work.