Enhancing Text Datasets With Scaling and Targeting Data Augmentation to Improve BERT-Based Machine Learners
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Synthetic data is used to increase a dataset's size for machine learning when acquiring new data is difficult. However, this is difficult for text data due to its symbolic nature. Large language models have decreased this difficulty. Using autism spectrum dis... ...
