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Related Questions
- What are the key challenges in adapting named entity recognition models to new domains?
- How does domain adaptation affect the performance of named entity recognition models in terms of precision and recall?
- What are some common techniques used for domain adaptation in named entity recognition, and how do they impact model performance?
- Can you explain the concept of 'domain shift' in the context of named entity recognition and how it affects model performance?
- How does the size and quality of the training data impact the effectiveness of domain adaptation in named entity recognition?
- What are some common evaluation metrics used to assess the performance of named entity recognition models after domain adaptation?
- Can you discuss the trade-offs between adapting a named entity recognition model to a new domain and retraining the model from scratch?
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