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Related Questions
- What techniques do domain-specific models use to handle out-of-vocabulary words?
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- What is the impact of out-of-vocabulary words on the performance of domain-specific models?
- How do domain-specific models handle entities that are not present in the training data?
- What strategies can be employed to reduce the effect of out-of-vocabulary words on domain-specific models?
- Can domain-specific models learn to represent unseen entities through contextual information?
- How do domain-specific models balance the trade-off between handling out-of-vocabulary words and maintaining model accuracy?
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