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Related Questions
- How does a broad annotation scheme impact the generalizability of a language model across different domains?
- Can a narrow annotation scheme lead to better domain adaptation in specific tasks, but compromise model generalizability?
- What are the implications of using a broad annotation scheme on model performance in low-resource domains?
- How does the trade-off between broad and narrow annotation schemes affect the interpretability of the model's learned representations?
- Can a narrow annotation scheme help mitigate the risk of overfitting to a specific domain, but at the cost of reduced generalizability?
- How does the choice of annotation scheme influence the model's ability to transfer knowledge across related tasks?
- What are the potential consequences of using a broad annotation scheme on the model's ability to adapt to new, unseen domains?
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