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Related Questions
- What is the impact of out-of-vocabulary words on the performance of a domain-specific entity recognition model?
- How can a domain-specific entity recognition model handle rare or newly introduced words?
- What techniques can be used to expand the vocabulary of a domain-specific entity recognition model to include out-of-vocabulary words?
- Can a model be fine-tuned to handle out-of-vocabulary words and entities in a domain-specific entity recognition task?
- What is the difference between out-of-vocabulary words and unknown words in the context of a domain-specific entity recognition model?
- How can a domain-specific entity recognition model be updated to include new words or entities that are not present in the training data?
- What is the role of word embeddings in handling out-of-vocabulary words in a domain-specific entity recognition model?
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