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Related Questions
- What are some effective techniques for fine-tuning pre-trained language models on small datasets for entity categorization tasks?
- How can data augmentation and transfer learning be used to improve the performance of pre-trained language models on entity categorization tasks with limited labeled data?
- What are some strategies for handling class imbalance in entity categorization tasks when working with pre-trained language models and limited labeled data?
- Can you explain the concept of few-shot learning and how it can be applied to entity categorization tasks with pre-trained language models and limited labeled data?
- How can active learning be used to select the most informative samples for labeling and improve the performance of pre-trained language models on entity categorization tasks with limited labeled data?
- What are some techniques for reducing the risk of overfitting when fine-tuning pre-trained language models on small datasets for entity categorization tasks?
- Can you discuss the role of data preprocessing and feature engineering in improving the performance of pre-trained language models on entity categorization tasks with limited labeled data?
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