Before revision:  Our experimental results on various domains show that GYC generates counterfactual text samples exhibiting the above four properties . \%The generated counterfactuals can then be fed complementary to the existing data augmentation for improving the debiasing algorithms performance as compared to existing counterfactuals generated by token substitution . GYC generates counterfactuals that can act as test cases to evaluate a model and any text debiasing algorithm.
After revision:  Our experimental results on various domains show that GYC generates counterfactual text samples exhibiting the above four properties . GYC generates counterfactuals that can act as test cases to evaluate a model and any text debiasing algorithm.