422 citations · 590 across the 5 of their papers we have counts for
Showing 2021 · cs.CLShow all
2 papers · 2 filters
cs.CL2021★ 422 cited
A Survey on Data Augmentation for Text Classification
Markus Bayer, Marc-André Kaufhold, Christian Reuter
Data augmentation, the artificial creation of training data for machine learning by transformations, is a widely studied research field across machine learning disciplines. While i…
cs.CL2021★ 148 cited
Data Augmentation in Natural Language Processing: A Novel Text Generation Approach for Long and Short Text Classifiers
Markus Bayer, Marc-André Kaufhold, Björn Buchhold +3
In many cases of machine learning, research suggests that the development of training data might have a higher relevance than the choice and modelling of classifiers themselves. Th…