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
Author: Jason Wei, Kai Zou
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Organisation: Protago Labs Research, Tysons Corner, Virginia, USA, Department of Computer Science, Dartmouth College, Department of Mathematics and Statistics, Georgetown University

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