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arXiv · 1809.09194

Stochastic Answer Networks for SQuAD 2.0

Xiaodong Liu·Wei Li·Yuwei Fang·Aerin Kim·Kevin Duh·Jianfeng Gao
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Abstract

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. Experiments show that SAN achieves the results competitive to the state-of-the-art on Stanford Question Answering Dataset (SQuAD) 2.0. To facilitate the research on this field, we release our code: https://github.com/kevinduh/san_mrc.

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Xiaodong Liu, Wei Li, Yuwei Fang, Aerin Kim, Kevin Duh, Jianfeng Gao. 2018-09-24. Stochastic Answer Networks for SQuAD 2.0. https://arxiv.org/abs/1809.09194

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