We test existing models trained on MNLI on our datasets and find that a generic NLI model is not able to capture temporal reasoning.
we use three types of models: (i) neural bag of words (NBOW; Iyyer et al., 2015) (ii) InferSent (Conneau et al., 2017), and (iii) RoBERTa (Liu et al., 2019).