Structure-Preserving Document-Level Data Augmentation via Discourse Parsing

Ruilin Shang, Shilong Hou, Zi Long +1

Data augmentation (DA) plays a vital role in improving model performance in low-resource or limited-supervision scenarios within Natural Language Processing (NLP). Existing DA meth…