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Related Questions
- How do machine learning models handle out-of-vocabulary words in general?
- What techniques do machine learning models use to handle out-of-vocabulary words in contextual disambiguation?
- Can you explain how subword modeling helps with out-of-vocabulary words in machine learning models?
- How do neural network architectures handle out-of-vocabulary words in contextual disambiguation?
- What role does pre-training play in handling out-of-vocabulary words in machine learning models?
- How do machine learning models use external knowledge sources to disambiguate out-of-vocabulary words?
- Can you describe the trade-offs between different approaches to handling out-of-vocabulary words in machine learning models?
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