Leveraging QA Datasets to Improve Generative Data Augmentation (2022.emnlp-main)
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| Challenge: | Recent advances in NLP have substantially improved the capability of pretrained language models to generate high-quality text. |
| Approach: | They propose to reformulate data generation as context generation for a given question-answer (QA) pair and leverage QA datasets for training context generators. |
| Outcome: | The proposed approach improves performance for few-shot and zero-shot classification datasets on multiple classification dataset. |
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