Machine learning models such as deep neural networks have achieved remarkable performance in many NLP tasks.
as noticed by recent studies, these models often inherit and amplify the biases in the datasets used to train the models (Zhao et al., 2017;Bolukbasi et al., 2016;Caliskan et al., 2017;Zhou et al., 2019;Manzini et al., 2019;Blodgett et al., 2020).