Motivated by this, we propose Adversarial Domain Adaptation for MRC (AdaMRC), a new approach that utilizes adversarial learning to learn domain-invariant transferable representations for better MRC model adaptation across domains (see Figure 1(b), where the two feature distributions learned by AdaMRC are indistinguishable through adversarial learning).
our proposed method first generates synthetic question-answer pairs given pas-sages in the target domain.