Stochastic Answer Networks for SQuAD 2.0

24 Sep 2018Xiaodong LiuWei LiYuwei FangAerin KimKevin DuhJianfeng Gao

This paper presents an extension of the Stochastic Answer Network (SAN), one of the state-of-the-art machine reading comprehension models, to be able to judge whether a question is unanswerable or not. The extended SAN contains two components: a span detector and a binary classifier for judging whether the question is unanswerable, and both components are jointly optimized... (read more)

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