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Related Questions
- What techniques are used to handle out-of-vocabulary words in named entity recognition?
- How do machine learning models adapt to unknown words during the training process?
- Can you explain the role of subword models in handling unknown entities in NER tasks?
- What is the difference between a dictionary-based and a learning-based approach to handle unknown entities in NER?
- How do contextualized embeddings help machine learning models to recognize unknown entities?
- What are some common strategies for incorporating out-of-vocabulary words into named entity recognition models?
- Can you discuss the trade-offs between recall and precision in handling unknown entities in NER tasks?
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