Bernhard Kratzwald

QA Domain Adaptation using Hidden Space Augmentation and Self-Supervised Contrastive Adaptation

2022 · arXiv (Cornell University)

Question answering (QA) has recently shown impressive results for answering questions from customized domains. Yet, a common challenge is to adapt QA models to an unseen target domain. In this paper, we propose a novel …