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%0 Conference Proceedings
%T A Few-shot Learning Approach for Lexical Semantic Change Detection Using GPT-4
%A Ren, Zhengfei
%A Caputo, Annalina
%A Jones, Gareth
%Y Tahmasebi, Nina
%Y Montariol, Syrielle
%Y Kutuzov, Andrey
%Y Alfter, David
%Y Periti, Francesco
%Y Cassotti, Pierluigi
%Y Huebscher, Netta
%S Proceedings of the 5th Workshop on Computational Approaches to Historical Language Change
%D 2024
%8 August
%I Association for Computational Linguistics
%C Bangkok, Thailand
%F ren-etal-2024-shot
%R 10.18653/v1/2024.lchange-1.18
%U https://aclanthology.org/2024.lchange-1.18
%U https://doi.org/10.18653/v1/2024.lchange-1.18
%P 187-192

Markdown (Informal)

[A Few-shot Learning Approach for Lexical Semantic Change Detection Using GPT-4](https://aclanthology.org/2024.lchange-1.18) (Ren et al., LChange-WS 2024)

• A Few-shot Learning Approach for Lexical Semantic Change Detection Using GPT-4 (Ren et al., LChange-WS 2024)

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.