Learning to Ask: Neural Question Generation for Reading Comprehension

Xinya Du
Xinya Du
Junru Shao
Junru Shao

meeting of the association for computational linguistics, 2017.

Cited by: 135|Bibtex|Views16|Links
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Abstract:

We study automatic question generation for sentences from text passages in reading comprehension. We introduce an attention-based sequence learning model for the task and investigate the effect of encoding sentence- vs. paragraph-level information. In contrast to all previous work, our model does not rely on hand-crafted rules or a sophis...More

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