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Related Questions
- What are the common techniques used to handle out-of-vocabulary words in entity recognition?
- How do domain adaptation and transfer learning methods address domain-specific terms in entity recognition?
- Can you explain the difference between rule-based and machine learning-based approaches to entity recognition in handling out-of-vocabulary terms?
- What role does pre-training play in enabling large language models to recognize out-of-vocabulary and domain-specific terms?
- How do active learning and semi-supervised learning methods contribute to improving entity recognition for out-of-vocabulary and domain-specific terms?
- What are the trade-offs between using pre-trained language models and fine-tuning them for domain-specific entity recognition tasks?
- Can you discuss the impact of out-of-vocabulary and domain-specific terms on the performance of entity recognition models and how to mitigate it?
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