Contrastive Domain Adaptation for Question Answering using Limited Text Corpora
Contrastive Domain Adaptation for Question Answering using Limited Text Corpora
Question generation has recently shown impressive results in customizing question answering (QA) systems to new domains. These approaches circumvent the need for manually annotated training data from the new domain and, instead, generate synthetic question-answer pairs that are used for training. However, existing methods for question generation rely on large …