Papers by Tanmay Surana
CASSI: Contextual and Semantic Structure-based Interpolation Augmentation for Low-Resource NER (2023.findings-emnlp)
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| Challenge: | Existing methods for text augmentation suffer from annotation corruption for token-level tasks like NER. |
| Approach: | They propose a novel augmentation scheme that generates high-quality contextually diverse augmentations while avoiding annotation corruption. |
| Outcome: | The proposed scheme outperforms existing methods at multiple low resource levels, in multiple languages, and for noisy and clean text. |