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:
- 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)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-2/2023.paclic-1.63.pdf