(2006), NLI was proposed as an intermediate task for evaluating whether a model will be useful in applications, and currently, NLI is increasingly used as a means for ''probing'' neural models to assess their knowledge of arbitrary linguistic phenomena (Dasgupta et al., 2018;Ettinger et al., 2018;Poliak et al., 2018b;Poliak et al., 2018a;McCoy et al., 2019).
nLI has largely become an evaluation lingua franca through which we diagnose what a semantic representation knows.