DuoRC: Towards Complex Language Understanding with Paraphrased Reading Comprehension

ACL 2018 Amrita SahaRahul AralikatteMitesh M. KhapraKarthik Sankaranarayanan

We propose DuoRC, a novel dataset for Reading Comprehension (RC) that motivates several new challenges for neural approaches in language understanding beyond those offered by existing RC datasets. DuoRC contains 186,089 unique question-answer pairs created from a collection of 7680 pairs of movie plots where each pair in the collection reflects two versions of the same movie - one from Wikipedia and the other from IMDb - written by two different authors... (read more)

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