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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Bibliographic Details

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
ISSN:	1568-4946
Online Access:	Get full text
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