Assessing GPT models’ Sensitivity to Epistemic Meanings in Korean Periphrastic Construction

Yebin Lee, Sanghoun Song, Arum Kang


Anthology ID:
2025.paclic-1.7
Volume:
Proceedings of the 39th Pacific Asia Conference on Language, Information and Computation
Month:
December
Year:
2025
Address:
Hanoi, Vietnam
Editors:
Chu-Ren Huang, Yasunari Harada, Jong-Bok Kim, Nguyen T.M. Huyen, Le Thanh Huong, Pham Hien, Emmanuele Chersoni, Le Minh Nguyen, Rachel Edita Oñate Roxas, Sherly Dita
Venue:
PACLIC
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
79–88
Language:
URL:
https://aclanthology.org/2025.paclic-1.7/
DOI:
Bibkey:
Cite (ACL):
Yebin Lee, Sanghoun Song, and Arum Kang. 2025. Assessing GPT models’ Sensitivity to Epistemic Meanings in Korean Periphrastic Construction. In Proceedings of the 39th Pacific Asia Conference on Language, Information and Computation, pages 79–88, Hanoi, Vietnam. Association for Computational Linguistics.
Cite (Informal):
Assessing GPT models’ Sensitivity to Epistemic Meanings in Korean Periphrastic Construction (Lee et al., PACLIC 2025)
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PDF:
https://aclanthology.org/2025.paclic-1.7.pdf