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Related Questions
- What are some common challenges in using the F1-score to evaluate text generation models in specific domains?
- How does the F1-score account for the nuances of domain-specific language and context?
- Can the F1-score be used to evaluate text generation models in highly specialized domains like medicine or law?
- What are some alternative evaluation metrics that can be used in place of the F1-score for text generation models in specific domains?
- How does the F1-score handle out-of-vocabulary words or domain-specific terminology?
- Can the F1-score be used to evaluate text generation models that produce multi-turn dialogue or conversations?
- What are some common pitfalls to avoid when using the F1-score to evaluate text generation models in specific domains?
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