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Related Questions
- What are some common pitfalls to avoid when using the F1-score to evaluate text generation models in specific domains?
- How can the F1-score be misleading when evaluating text generation models in certain domains?
- What are some alternative evaluation metrics to use when the F1-score is not suitable for a specific domain?
- How can the F1-score be affected by class imbalance in text generation models?
- What are some strategies to improve the F1-score when evaluating text generation models in specific domains?
- Can the F1-score be used to evaluate text generation models in domains with nuanced or context-dependent semantics?
- How can the F1-score be adapted to account for specific characteristics of a domain, such as ambiguity or uncertainty?
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