2 The development of new large-scale datasets has led to a flurry of various neural network architectures for solving NLI.
recent work has found that many NLI datasets contain biases, or annotation artifacts, i.e., features present in hypotheses that enable models to perform surprisingly well using only the hypothesis, without learning the relationship between two texts (Gururangan et al., 2018;Poliak et al., 2018b;Tsuchiya, 2018).