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Related Questions
- What are the common challenges faced by entity identification models when encountering out-of-vocabulary words?
- How do out-of-vocabulary words impact the performance of entity recognition models in specific domains?
- Can you explain the strategies used to handle out-of-vocabulary words in entity identification models?
- What is the effect of out-of-vocabulary words on the accuracy of named entity recognition models?
- How do different pre-training objectives and architectures affect the handling of out-of-vocabulary words in entity identification models?
- What are some common techniques used to adapt entity identification models to out-of-vocabulary words in low-resource languages?
- Can you discuss the trade-offs between using subword models and character-level models to handle out-of-vocabulary words in entity identification?
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