2023
Improving Low-resource Question Answering by Augmenting Question Information
EMNLP 2023short findings
In the era of large models, low-resource question-answering tasks lag, emphasizing the importance of data augmentation - a key research avenue in natural language processing. The main challenges include leveraging the large model's internal knowledge for data augmentation, determining which QA data…