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Related Questions
- How do out-of-vocabulary words impact the performance of named entity recognition models in handling unseen entities?
- Can named entity recognition models be fine-tuned to improve accuracy on out-of-vocabulary words?
- What are some strategies to mitigate the effects of out-of-vocabulary words on named entity recognition models?
- How do different pre-training objectives and architectures affect the out-of-vocabulary word handling of named entity recognition models?
- What role does domain adaptation play in improving named entity recognition models' performance on out-of-vocabulary words?
- Can transfer learning be used to adapt named entity recognition models to handle out-of-vocabulary words in different domains?
- What are the implications of out-of-vocabulary words on the interpretability of named entity recognition models?
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