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News/Structure-Preserving Document-Level Data Augmentation via Discourse Parsing
arxiv
PublishedOctober 15, 2026 at 4:00 AM

Structure-Preserving Document-Level Data Augmentation via Discourse Parsing

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arXiv:2610.19497v1 Announce Type: new 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 replacement and back-translation, have demonstrated

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