Deep learning approaches for information extraction from visually rich documents: datasets, challenges and methods
Crossref DOI link: https://doi.org/10.1007/s10032-024-00493-8
Published Online: 2024-07-29
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Gbada, Hamza
Kalti, Karim
Mahjoub, Mohamed Ali
Text and Data Mining valid from 2024-07-29
Version of Record valid from 2024-07-29
Article History
Received: 12 November 2022
Revised: 11 January 2024
Accepted: 16 July 2024
First Online: 29 July 2024
Declarations
:
: The authors declare no competing interests.