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Natural Language Inference from Multiple Premises (1710.02925v1)
Published 9 Oct 2017 in cs.CL
Abstract: We define a novel textual entailment task that requires inference over multiple premise sentences. We present a new dataset for this task that minimizes trivial lexical inferences, emphasizes knowledge of everyday events, and presents a more challenging setting for textual entailment. We evaluate several strong neural baselines and analyze how the multiple premise task differs from standard textual entailment.
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