Enhanced model for abstractive Arabic text summarization using natural language generation and named entity recognition
Crossref DOI link: https://doi.org/10.1007/s00521-024-10949-x
Published Online: 2025-01-30
Published Print: 2025-04
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Essa, Nada
El-Gayar, M. M. https://orcid.org/0000-0002-4644-1835
El-Daydamony, Eman M.
Funding for this research was provided by:
Mansoura University
Text and Data Mining valid from 2025-01-30
Version of Record valid from 2025-01-30
Article History
Received: 16 April 2024
Accepted: 12 December 2024
First Online: 30 January 2025
Declarations
:
: There is no conflict of interest.
: There are no any ethical conflicts.