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	title        = {SBX­-HY at RuShiftEval 2021: Доверяй, но проверяй},
	abstract     = {Research in computational lexical semantic change, due to the inherent nature of language change, has been notoriously difficult to evaluate. This led to the creation of many new exciting models that cannot be easily compared. In this system paper, we describe our submissions at RuShiftEval 2021 – one of the few recently shared tasks that enable researchers, through a standard evaluation set and control conditions, to systematically compare models and gain insights from previous work. We show that despite top results in similar tasks on other languages, Temporal Referencing does not seem to perform as well on Russian.},
	booktitle    = {Computational Linguistics and Intellectual Technologies: Proceedings of the International Conference “Dialogue 2021,” Moscow, June 16–19, 2021},
	author       = {Hengchen, Simon and Viloria, Kate and Indukaev, Andrey},
	year         = {2021},
	publisher    = {Rossiiskii Gosudarstvennyi Gumanitarnyi Universitet },
	address      = {Moscow},