Papers by Ali Amin-Nejad
Exploring Transformer Text Generation for Medical Dataset Augmentation (2020.lrec-1)
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| Challenge: | Natural Language Processing (NLP) is a powerful tool to unlock the vast troves of unstructured data in clinical text. |
| Approach: | They propose a method for augmenting unstructured patient information to allow NLP model development on downstream clinically relevant tasks. |
| Outcome: | The proposed method beats baselines on a downstream classification task and can be used for NLP model development. |