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Korean named entity recognition based on language-specific features – CORRIGENDUM

Published online by Cambridge University Press:  16 November 2023

Yige Chen
Affiliation:
The Chinese University of Hong Kong, Hong Kong
KyungTae Lim
Affiliation:
Seoul National University of Science and Technology, Seoul, South Korea
Jungyeul Park*
Affiliation:
The University of British Columbia, Vancouver, BC, Canada
*
Corresponding author: Jungyeul Park; Email: jungyeul@mail.ubc.ca
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Abstract

Type
Corrigendum
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2023. Published by Cambridge University Press

The authors regret that the below acknowledgements section was missing in the initial publication of this article:

“This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (2021R1F1A1063474) to KyungTae Lim.”

The article has now been updated to display this.

Footnotes

Yige Chen and KyungTae Lim contributed equally.

References

Chen, Y., Lim, K., and Park, J. (2023). Korean named entity recognition based on language-specific features. Natural Language Engineering, 1–25. doi: 10.1017/S1351324923000311 CrossRefGoogle Scholar