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Related Questions
- What techniques do language models employ to handle out-of-vocabulary (OOV) words?
- How do language models use external dictionaries to expand their vocabulary?
- Can you explain the role of knowledge graphs in enabling language models to understand OOV words?
- What strategies do language models use to adapt to new words or concepts they have not seen before?
- How do language models like BERT and RoBERTa handle OOV words?
- What are the benefits and limitations of using external resources for handling OOV words in language models?
- Can you discuss the trade-offs between using pre-trained language models and fine-tuning on a custom dataset to handle OOV words?
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