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

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 author Md Mahmud Uz Zaman author 2022-05 text Proceedings of the 3rd Workshop on Computational Approaches to Historical Language Change Nina Tahmasebi editor Syrielle Montariol editor Andrey Kutuzov editor Simon Hengchen editor Haim Dubossarsky editor Lars Borin editor Association for Computational Linguistics Dublin, Ireland conference publication kellert-mahmud-uz-zaman-2022-using 10.18653/v1/2022.lchange-1.14 https://aclanthology.org/2022.lchange-1.14/ 2022-05 131 139