April 1, 2024, 4:47 a.m. | Juhwan Choi, YoungBin Kim

cs.CL updates on arXiv.org arxiv.org

arXiv:2403.20015v1 Announce Type: new
Abstract: In the field of text data augmentation, rule-based methods are widely adopted for real-world applications owing to their cost-efficiency. However, conventional rule-based approaches suffer from the possibility of losing the original semantics of the given text. We propose a novel text data augmentation strategy that avoids such phenomena through a straightforward deletion of adverbs, which play a subsidiary role in the sentence. Our comprehensive experiments demonstrate the efficiency and effectiveness of our proposed approach for …

abstract applications arxiv augmentation cost cs.ai cs.cl data efficiency however key novel possibility semantics simple strategy text the key type world

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