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Related Questions
- What are the challenges in fine-tuning pre-trained language models for entity categorization in low-resource languages?
- Can you explain the importance of transfer learning in fine-tuning pre-trained language models for entity categorization?
- How can data augmentation techniques be used to increase the size and diversity of the training dataset for fine-tuning pre-trained language models?
- What are some common evaluation metrics used to assess the performance of fine-tuned pre-trained language models for entity categorization?
- Can you discuss the impact of language model architecture and hyperparameters on the performance of fine-tuned models for entity categorization?
- How can multilingual pre-trained language models be adapted for entity categorization in low-resource languages?
- What role can active learning and self-supervised learning play in fine-tuning pre-trained language models for entity categorization?
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