This paper discusses Easy-to-use Data Augmentation techniques for the use-case of Text Classification in NLP. 🔥
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Data augmentation is a strategy that enables practitioners to significantly increase the diversity in the available data for training ML models, without actually collecting new data. 👾👾
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⏩ Paper Title: EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks
⏩ Paper: https://arxiv.org/abs/1901.11196
⏩ Author: Jason Wei, Kai Zou
⏩ Official Code: https://github.com/jasonwei20/eda_nlp
⏩ Organisation: Protago Labs Research, Tysons Corner, Virginia, USA, Department of Computer Science, Dartmouth College, Department of Mathematics and Statistics, Georgetown University
Stay healthy. Chai Cheers!