Before revision:  We frame the automated counterfactual generation as text generation, and finetune GPT-2 into a generator , Polyjuice, which produces fluent and diverse counterfactuals. Our method also allows control over where perturbations happen and what they do .
After revision:  We frame the automated counterfactual generation as text generation, and finetune GPT-2 on multiple datasets of paired sentences .