Complementing these works, we directly manipulate models' modeling of the context surrounding identifier terms by regularizing explanations of these terms.
we use post-hoc explanation algorithms to interpret and modulate finetuned language models like BERT (Devlin et al., 2018), which achieve state of the art performance on many hate speech detection tasks (MacAvaney et al., 2019;Mandl et al., 2019).