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A lot of progress has been made to improve question answering (QA) in recent years, but the special problem of QA over narrative book stories has not been explored in-depth.
Multi-style generative reading comprehension
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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