Papers with stochastic prediction dropout

1 papers
Stochastic Answer Networks for Machine Reading Comprehension (P18-1)

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Challenge: Several recent MRC models employ multi-step reasoning . we show that the use of a stochastic prediction dropout improves robustness .
Approach: They propose a stochastic answer network that simulates multi-step reasoning in machine reading comprehension.
Outcome: The proposed model improves robustness and results competitive with state-of-the-art models on the Stanford Question Answering Dataset and Microsoft MAchine Reading COmprehension Dataset.

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