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Related Questions
- What are the common techniques used to handle out-of-vocabulary words in domain adaptation for text generation models?
- How do domain adaptation methods like adversarial training and multi-task learning address the issue of out-of-vocabulary words?
- What is the impact of out-of-vocabulary words on the performance of text generation models in a new domain?
- Can you explain the concept of 'domain shift' and how it relates to out-of-vocabulary words in domain adaptation?
- How do methods like data augmentation and knowledge distillation help to mitigate the issue of out-of-vocabulary words in domain adaptation?
- What are some common evaluation metrics used to assess the performance of domain adaptation methods in handling out-of-vocabulary words?
- Can you discuss the trade-offs between using pre-trained language models and fine-tuning them for domain adaptation when dealing with out-of-vocabulary words?
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