A first step toward grounded commonsense inference with today's deep learning machinery is to create a large-scale dataset.
recent work has shown that human-written datasets are susceptible to annotation artifacts: unintended stylistic patterns that give out clues for the gold labels (Gururangan et al., 2018;Poliak et al., 2018).