It is key for models to not ignore identifiers, but to match them with the right context.
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).