Using neural topic models to track context shifts of words: a case study of COVID-related terms before and after the lockdown in April 2020

Olga Kellert, Md. Mahmud Uz Zaman. Using neural topic models to track context shifts of words: a case study of COVID-related terms before and after the lockdown in April 2020. In Nina Tahmasebi, Syrielle Montariol, Andrey Kutuzov, Simon Hengchen, Haim Dubossarsky, Lars Borin, editors, Proceedings of the 3rd Workshop on Computational Approaches to Historical Language Change, LChange@ACL 2022, Dublin, Ireland, May 26-27, 2022. pages 131-139, Association for Computational Linguistics, 2022. [doi]

Abstract

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