Projective Methods for Mitigating Gender Bias in Pre-trained Language Models

Hillary Dawkins, Isar Nejadgholi, Daniel Gillis +1

Mitigation of gender bias in NLP has a long history tied to debiasing static word embeddings. More recently, attention has shifted to debiasing pre-trained language models. We stud…