Structure-Preserving Document-Level Data Augmentation via Discourse Parsing
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 replacement and back-translation, have demonstrated effectiveness on the word or sentence level; however, they frequent...
Rui-Lin Shang, Shi-Long Hou, Zi Long et al.
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