We use our recast datasets to explore how well different common classes of NLI models 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).