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Ad astra or astray: Exploring linguistic knowledge of multilingual BERT through NLI task – CORRIGENDUM

Published online by Cambridge University Press:  28 April 2023

Maria Tikhonova*
Affiliation:
HSE University, Moscow, Russia
Vladislav Mikhailov
Affiliation:
HSE University, Moscow, Russia
Dina Pisarevskaya
Affiliation:
Independent Resercher, London, UK
Valentin Malykh
Affiliation:
Huawei Noah’s Ark Lab, Moscow, Russia
Tatiana Shavrina*
Affiliation:
HSE University, Moscow, Russia AI Research Institute (AIRI), Moscow, Russia
*
*Corresponding author: E-mail: m_tikhonova94@mail.ru; rybolos@gmail.com
*Corresponding author: E-mail: m_tikhonova94@mail.ru; rybolos@gmail.com
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Abstract

Type
Corrigendum
Copyright
© The Author(s), 2023. Published by Cambridge University Press

In the original publication of this article, the funding statement was missing. The article has now been updated to include the following funding statement:

“The work has been supported by the Ministry of Science and Higher Education of the Russian Federation within Agreement No 075-15-2020-793.”

References

Tikhonova, M., Mikhailov, V., Pisarevskaya, D., Malykh, V., & Shavrina, T. (2022). Ad astra or astray: Exploring linguistic knowledge of multilingual BERT through NLI task. Natural Language Engineering, 1-30. doi: 10.1017/S1351324922000225 CrossRefGoogle Scholar