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Related Questions
- What are the strengths and limitations of using Self-BLEU as a metric for evaluating generated text coherence?
- How does BERTScore compare to other evaluation metrics for natural language generation, and when should it be used?
- What are the key factors to consider when selecting a metric for evaluating semantic similarity between generated text and human-written text?
- Can you explain the concept of 'semantically-adequate' and how it relates to the use of BERTScore?
- How can the results of Self-BLEU and BERTScore be used to improve the coherence and semantic similarity of generated text?
- What are some common pitfalls to avoid when using metrics like Self-BLEU and BERTScore, and how can they be mitigated?
- Can you provide examples of how to use Self-BLEU and BERTScore in conjunction with other evaluation metrics to get a more comprehensive understanding of generated text quality?
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