Appeared in the proceedings of EMNLP–IJCNLP 2019 (Hong Kong, November).This clarified version was prepared in December 2019.It’s All in the Name: Mitigating Gender Bias with Name-Based Counterfactual Data Substitution
Table 1: Direct bias results
['Method', 'Art–Maths  [ITALIC] d', 'Art–Maths  [ITALIC] p', 'Arts–Sciences  [ITALIC] d', 'Arts–Sciences  [ITALIC] p', 'Career–Family  [ITALIC] d', 'Career–Family  [ITALIC] p']
We also compute a two-tailed p-value to determine whether the difference between the various sets is significant.