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

Autor:	Olga Kellert, Md Mahmud Uz Zaman
Rok vydání:	2022
Zdroj:	Proceedings of the 3rd Workshop on Computational Approaches to Historical Language Change.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::a7b69362de8fc81e56d107b2a85e8790 https://doi.org/10.18653/v1/2022.lchange-1.14 Zobrazit plný text záznamu