Select, Answer and Explain: Interpretable Multi-hop Reading Comprehension over Multiple Documents
Table 1: Results comparison between our proposed SAE system with other methods. ∗ indicates unpublished models.
['[EMPTY]', 'Model', 'Ans EM', 'Ans  [ITALIC] F1', 'Sup EM', 'Sup  [ITALIC] F1', 'Joint EM', 'Joint  [ITALIC] F1']
On development set, our method improves more than 28% and 25% absolutely in terms of joint EM and F1 scores over the baseline model.