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A survey on cutting-edge relation extraction techniques based on language models

Crossref DOI link: https://doi.org/10.1007/s10462-025-11280-0

Published Online: 2025-07-01

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Diaz-Garcia, Jose A. https://orcid.org/0000-0002-9263-1402
Lopez, Julio Amador Diaz
Funding

Funding for this research was provided by:

Universidad de Granada
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Text and Data Mining valid from 2025-07-01

Version of Record valid from 2025-07-01
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Article History

Accepted: 30 May 2025

First Online: 1 July 2025

Competing interests

: The authors declare no competing interests.