Unsupervised Domain Adaptation on Reading Comprehension
Table 5: EM results on source datasets after adaptaiton.
['[EMPTY]', '[BOLD] C→S', '[BOLD] D→C', '[BOLD] C→N', '[BOLD] S→Co', '[BOLD] N→Dr']
4 datasets pairs in ablation study is involved plus NewsQA to DROP (N→Dr). There are performance declines compared to models trained on the source datasets, except D→C in which datasets have very similar properties. It means our CASe method results in a good transferred model at the meantime leads to knowledge loss in the source domain.