Adversarial Domain Adaptation for Machine Reading Comprehension
Table 3: Performance on DuoRC, adapting from SelfRC (Wikipedia) to ParaphraseRC (IMDB).
['Method', 'EM/F1']
In the DuoRC dataset, the same questions are asked on both Wikipedia and IMDB documents. Thus, question synthesis is not needed, and comparison with SynNet is not feasible. Note that the answers of the same question could be different in the two subsets (only 40.7% of the questions have the same answers in both domains). We pre-process the dataset and test the answer-span extraction task following Saha et al. AdaMRC improves the performance over both SAN (1.26%, 1.54% in EM and F1) and BiDAF (1.27%, 2.02% in EM and F1). This experiment validates that our method can be applied to different styles of domain adaptation tasks as well.