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Related Questions
- What techniques can be employed to handle out-of-vocabulary words in language models?
- How can model developers improve the performance of their models when encountering unknown entities?
- What strategies are used to mitigate the impact of unseen words on model accuracy?
- Can you explain the concept of subword modeling and its application in handling out-of-vocabulary entities?
- What role does data augmentation play in reducing the effects of out-of-vocabulary entities on model performance?
- How can model fine-tuning and transfer learning be used to adapt to new or unseen entities?
- What is the relationship between vocabulary size and model performance, and how can it be addressed?
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