Hostname: page-component-5db58dd55d-m58mf Total loading time: 0 Render date: 2026-07-07T19:32:29.825Z Has data issue: false hasContentIssue false
  • English
  • Français

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 Open the ORCID record for Maria Tikhonova [Opens in a new window] ,
Vladislav Mikhailov ,
Dina Pisarevskaya ,
Valentin Malykh  and
Tatiana Shavrina Open the ORCID record for Tatiana Shavrina [Opens in a new window]
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
Rights & Permissions [Opens in a new window]

Abstract

An abstract is not available for this content. As you have access to this content, full HTML content is provided on this page. A PDF of this content is also available in through the ‘Save PDF’ action button.

Information

Type
Corrigendum
Information
Natural Language Engineering , Volume 29 , Issue 4 , July 2023 , pp. 1198
Check for updates
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