Our findings, together with the previous negative findings e.g. by <cite>Glockner et al. (2018)</cite> and Gururangan et al. (2018) , indicate that the current state-of-the-art neural network models fail to capture the semantics of NLI in a way that will enable them to generalize across different NLI situations.