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Related Questions
- What are some common data augmentation techniques used in natural language processing to improve language model generalizability?
- How can we leverage active learning to select the most informative data for augmenting the training set?
- What are the benefits of using transfer learning and fine-tuning for augmenting language models on specific domains?
- Can you explain the concept of data augmentation techniques in the context of language understanding and provide examples?
- How can we use back-translation and pseudo-labeling to augment the training data for language understanding?
- What are some strategies for creating synthetic data to augment the training set for language understanding?
- How can we use few-shot learning and meta-learning to augment the training data for language understanding?
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