Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning

IJCNLP 2019 Lifu HuangRonan Le BrasChandra BhagavatulaYejin Choi

Understanding narratives requires reading between the lines, which in turn, requires interpreting the likely causes and effects of events, even when they are not mentioned explicitly. In this paper, we introduce Cosmos QA, a large-scale dataset of 35,600 problems that require commonsense-based reading comprehension, formulated as multiple-choice questions... (read more)

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