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It’s All in the Name: Mitigating Gender Bias with Name Based Counterfactual Data Substitution

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Figure

Figure 1: Word sets used by WED with examples
Figure 2: Frequency and gender-specificity of names inthe SSA dataset
Figure 3: Bipartite matching of names by frequencyand gender-specificity
Figure 4: Variance explained by the top Principal Com-ponents of the definitional word pairs (left) and randomunit vectors (right)
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