Data augmentation techniques in natural language processing

Data Augmentation (DA) methods – a family of techniques designed for synthetic generation of training data – have shown remarkable results in various Deep Learning and Machine Learning tasks. Despite its widespread and successful adoption within the computer vision community, DA techniques designed...

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Vydané v:	Applied soft computing Ročník 132; s. 109803
Hlavní autori:	Pellicer, Lucas Francisco Amaral Orosco, Ferreira, Taynan Maier, Costa, Anna Helena Reali
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.01.2023
Predmet:	Back-translation Data augmentation Machine learning Natural language processing Back-translation Data augmentation Natural language processing Machine learning
ISSN:	1568-4946
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