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

Stereotype and Skew: Quantifying Gender Bias in Pre-trained and Fine-tuned Language Models Daniel de Vassimon Manela author David Errington author Thomas Fisher author Boris van Breugel author Pasquale Minervini author 2021-04 text Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume Paola Merlo editor Jorg Tiedemann editor Reut Tsarfaty editor Association for Computational Linguistics Online conference publication de-vassimon-manela-etal-2021-stereotype 10.18653/v1/2021.eacl-main.190 https://aclanthology.org/2021.eacl-main.190/ 2021-04 2232 2242