A Few-shot Learning Approach for Lexical Semantic Change Detection Using GPT-4

Zhengfei Ren, Annalina Caputo, Gareth Jones


Anthology ID:
2024.lchange-1.18
Volume:
Proceedings of the 5th Workshop on Computational Approaches to Historical Language Change
Month:
August
Year:
2024
Address:
Bangkok, Thailand
Editors:
Nina Tahmasebi, Syrielle Montariol, Andrey Kutuzov, David Alfter, Francesco Periti, Pierluigi Cassotti, Netta Huebscher
Venues:
LChange | WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
187–192
Language:
URL:
https://preview.aclanthology.org/build-pipeline-with-new-library/2024.lchange-1.18/
DOI:
10.18653/v1/2024.lchange-1.18
Bibkey:
Cite (ACL):
Zhengfei Ren, Annalina Caputo, and Gareth Jones. 2024. A Few-shot Learning Approach for Lexical Semantic Change Detection Using GPT-4. In Proceedings of the 5th Workshop on Computational Approaches to Historical Language Change, pages 187–192, Bangkok, Thailand. Association for Computational Linguistics.
Cite (Informal):
A Few-shot Learning Approach for Lexical Semantic Change Detection Using GPT-4 (Ren et al., LChange 2024)
Copy Citation:
PDF:
https://preview.aclanthology.org/build-pipeline-with-new-library/2024.lchange-1.18.pdf