In short, constructing natural questions of reasonable difficulty would seem to require an abstractive approach that can produce fluent phrasings that do not exactly match the text from which they were drawn.
and in contrast to all previous work, we propose here to frame the task of question generation as a sequence-to-sequence learning problem that directly maps a sentence from a text passage to a question.