Large Language Models Meet Knowledge Graphs to Answer Factoid Questions

Mikhail Salnikov, Hai Le, Prateek Rajput, Irina Nikishina, Pavel Braslavski, Valentin Malykh, Alexander Panchenko


Anthology ID:
2023.paclic-1.63
Volume:
Proceedings of the 37th Pacific Asia Conference on Language, Information and Computation
Month:
December
Year:
2023
Address:
Hong Kong, China
Editors:
Chu-Ren Huang, Yasunari Harada, Jong-Bok Kim, Si Chen, Yu-Yin Hsu, Emmanuele Chersoni, Pranav A, Winnie Huiheng Zeng, Bo Peng, Yuxi Li, Junlin Li
Venue:
PACLIC
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
635–644
Language:
URL:
https://aclanthology.org/2023.paclic-1.63
DOI:
Bibkey:
Cite (ACL):
Mikhail Salnikov, Hai Le, Prateek Rajput, Irina Nikishina, Pavel Braslavski, Valentin Malykh, and Alexander Panchenko. 2023. Large Language Models Meet Knowledge Graphs to Answer Factoid Questions. In Proceedings of the 37th Pacific Asia Conference on Language, Information and Computation, pages 635–644, Hong Kong, China. Association for Computational Linguistics.
Cite (Informal):
Large Language Models Meet Knowledge Graphs to Answer Factoid Questions (Salnikov et al., PACLIC 2023)
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PDF:
https://aclanthology.org/2023.paclic-1.63.pdf