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Related Questions
- What are the limitations of using F1-score for evaluating text generation models in highly specialized domains like medicine or law?
- Can F1-score accurately capture the nuances of domain-specific language and terminology in medicine or law?
- How does the F1-score compare to other evaluation metrics for text generation models in specialized domains?
- What are the challenges of using F1-score to evaluate text generation models in domains with high domain-specific jargon and technical terms?
- Can F1-score be used to evaluate the fluency and coherence of text generated in highly specialized domains like medicine or law?
- How does the F1-score take into account the context and subtlety of language in specialized domains like medicine or law?
- What are the implications of using F1-score to evaluate text generation models in highly specialized domains for real-world applications like medical diagnosis or legal decision-making?
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