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Related Questions
- What is domain adaptation in NLP and how does it differ from other NLP tasks?
- Can you provide examples of domain adaptation in NLP and its applications?
- How does domain adaptation address the problem of out-of-domain data and what are its limitations?
- What are the key techniques used in domain adaptation for NLP, such as fine-tuning and data augmentation?
- Can you explain the concept of task adaptation in NLP and how it is related to domain adaptation?
- How does domain adaptation impact the performance of NLP models in terms of accuracy and generalizability?
- What are some real-world examples of domain adaptation in NLP, such as sentiment analysis and text classification?
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