ReCoRD

ReCoRD: Bridging the Gap between Human and Machine Commonsense Reading Comprehension. We present a large-scale dataset, ReCoRD, for machine reading comprehension requiring commonsense reasoning. Experiments on this dataset demonstrate that the performance of state-of-the-art MRC systems fall far behind human performance. ReCoRD represents a challenge for future research to bridge the gap between human and machine commonsense reading comprehension. ReCoRD is available at https://sheng-z.github.io/ReCoRD-explorer/ ( arXiv:1810.12885)