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Related Questions
- What are the common techniques used to handle out-of-vocabulary (OOV) words in pre-trained language models?
- How can we leverage the knowledge from pre-trained models to improve OOV word handling?
- What are the challenges in adapting pre-trained models to handle OOV words and how can we address them?
- Can we fine-tune pre-trained models on a small in-domain dataset to improve OOV word handling?
- How does transfer learning help in adapting pre-trained models to handle OOV words in low-resource languages?
- What is the role of vocabulary adaptation in improving OOV word handling in pre-trained models?
- Can we use pre-trained models as a starting point for learning new words and adapting to new domains?
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