FinAraT5: A text to text model for financial Arabic text understanding and generation - ACL Anthology

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FinAraT5: A text to text model for financial Arabic text understanding and generation

Nadhem Zmandar, Mo El-Haj, Paul Rayson

Anthology ID:: 2023.ldk-1.25
Volume:: Proceedings of the 4th Conference on Language, Data and Knowledge
Month:: September
Year:: 2023
Address:: Vienna, Austria
Editors:: Sara Carvalho, Anas Fahad Khan, Ana Ostroški Anić, Blerina Spahiu, Jorge Gracia, John P. McCrae, Dagmar Gromann, Barbara Heinisch, Ana Salgado
Venue:: LDK
SIG:
Publisher:: NOVA CLUNL, Portugal
Note:
Pages:: 262–273
Language:
URL:: https://aclanthology.org/2023.ldk-1.25
DOI:
Bibkey:
Cite (ACL):: Nadhem Zmandar, Mo El-Haj, and Paul Rayson. 2023. FinAraT5: A text to text model for financial Arabic text understanding and generation. In Proceedings of the 4th Conference on Language, Data and Knowledge, pages 262–273, Vienna, Austria. NOVA CLUNL, Portugal.
Cite (Informal):: FinAraT5: A text to text model for financial Arabic text understanding and generation (Zmandar et al., LDK 2023)
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PDF:: https://preview.aclanthology.org/nschneid-patch-4/2023.ldk-1.25.pdf