Much of the focus for mitigating unintended bias in NLP is either targeted at reducing gender stereotypes in text (Bolukbasi et al., 2016b,a; Zhao et al., 2017; Zhang et al., 2018) , or inequality of sentiment or toxicity for various protected groups <cite>(Caliskan-Islam et al., 2016</cite>; Bakarov, 2018; Dixon et al.; Garg et al., 2018; Kiritchenko and Mohammad, 2018) .