Stereotype and Skew: Quantifying Gender Bias in Pre-trained and Fine-tuned Language Models

Daniel de Vassimon Manela, David Errington, Thomas Fisher +2

This paper proposes two intuitive metrics, skew and stereotype, that quantify and analyse the gender bias present in contextual language models when tackling the WinoBias pronoun r…