Data augmentation techniques in natural language processing

• Published in: Applied soft computing Vol. 132; p. 109803
• Main Authors: Pellicer, Lucas Francisco Amaral Orosco, Ferreira, Taynan Maier, Costa, Anna Helena Reali
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.01.2023
• Subjects: Back-translation; Data augmentation; Machine learning; Natural language processing; Back-translation; Data augmentation; Natural language processing; Machine learning

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...