%0 Conference Proceedings
%T Debiasing Isn‘t Enough! – on the Effectiveness of Debiasing MLMs and Their Social Biases in Downstream Tasks
%A Kaneko, Masahiro
%A Bollegala, Danushka
%A Okazaki, Naoaki
%Y Calzolari, Nicoletta
%Y Huang, Chu-Ren
%Y Kim, Hansaem
%Y Pustejovsky, James
%Y Wanner, Leo
%Y Choi, Key-Sun
%Y Ryu, Pum-Mo
%Y Chen, Hsin-Hsi
%Y Donatelli, Lucia
%Y Ji, Heng
%Y Kurohashi, Sadao
%Y Paggio, Patrizia
%Y Xue, Nianwen
%Y Kim, Seokhwan
%Y Hahm, Younggyun
%Y He, Zhong
%Y Lee, Tony Kyungil
%Y Santus, Enrico
%Y Bond, Francis
%Y Na, Seung-Hoon
%S Proceedings of the 29th International Conference on Computational Linguistics
%D 2022
%8 October
%I International Committee on Computational Linguistics
%C Gyeongju, Republic of Korea
%F kaneko-etal-2022-debiasing
%U https://aclanthology.org/2022.coling-1.111/
%P 1299-1310