Structure-Preserving Document-Level Data Augmentation via Discourse Parsing.

arXiv:2610.19497v1 Announce Type: cross Abstract: 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 methods, such as synonym replaceme