UIT-ViCoV19QA: A Dataset for COVID-19 Community-based Question Answering on Vietnamese Language

Triet Thai, Ngan Chu Thao-Ha, Anh Vo, Son Luu


Anthology ID:
2022.paclic-1.88
Volume:
Proceedings of the 36th Pacific Asia Conference on Language, Information and Computation
Month:
October
Year:
2022
Address:
Manila, Philippines
Editors:
Shirley Dita, Arlene Trillanes, Rochelle Irene Lucas
Venue:
PACLIC
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
801–810
Language:
URL:
https://aclanthology.org/2022.paclic-1.88
DOI:
Bibkey:
Cite (ACL):
Triet Thai, Ngan Chu Thao-Ha, Anh Vo, and Son Luu. 2022. UIT-ViCoV19QA: A Dataset for COVID-19 Community-based Question Answering on Vietnamese Language. In Proceedings of the 36th Pacific Asia Conference on Language, Information and Computation, pages 801–810, Manila, Philippines. Association for Computational Linguistics.
Cite (Informal):
UIT-ViCoV19QA: A Dataset for COVID-19 Community-based Question Answering on Vietnamese Language (Thai et al., PACLIC 2022)
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PDF:
https://aclanthology.org/2022.paclic-1.88.pdf