92650b2e92217715fe312e6fa7b90d82-AuthorFeedback.pdf

We thank the reviewers for their thoughtful feedback and helpful suggestions. We address specific points below. Dwork (2012) defines an algorithm to be fair if it gives similar predictions to similar individuals. The formalization of this definition was extended into Counterfactual Fairness (Kusner, 2017). XLNet, which are consistent with the results from GPT-2.