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 commonsense reasoning





A Datasheet for S

Neural Information Processing Systems

These sentence pairs will serve as a means to evaluate machines' commonsense reasoning abilities under different extra-linguistic contexts.


Incorporating Geographical and Temporal Contexts into Generative Commonsense Reasoning

Neural Information Processing Systems

Recently, commonsense reasoning in text generation has attracted much attention. Generative commonsense reasoning is the task that requires machines, given a group of keywords, to compose a single coherent sentence with commonsense plausibility. While existing datasets targeting generative commonsense reasoning focus on everyday scenarios, it is unclear how well machines reason under specific geographical and temporal contexts.