Question: How do the authors examine whether a model is robust to noise or not?
Answer: By evaluating their model on adversarial sets containing misleading sentences
Alternative answer: we also use two of its adversarial sets, namely AddSent and AddOneSent BIBREF6 , to evaluate the robustness to noise