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Related Questions
- How does active learning improve the accuracy of named entity recognition models in handling out-of-vocabulary words?
- What are the key NLP techniques that can be integrated with active learning to enhance the robustness of named entity recognition models?
- Can you explain the impact of active learning on the generalizability of named entity recognition models across different domains and languages?
- How does active learning help in reducing the annotation effort required for training named entity recognition models?
- What are the challenges associated with integrating active learning with other NLP techniques for named entity recognition?
- Can you discuss the role of active learning in improving the handling of named entity recognition models for low-resource languages?
- How does active learning contribute to the development of more robust named entity recognition models in the presence of noisy or missing annotations?
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