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Related Questions
- What are the key differences between ROUGE-SU4 and ROUGE-SU3 metrics in evaluating generated text?
- How do ROUGE-SU4 and ROUGE-SU3 scores correlate with human judgment of coherence and fluency in generated text?
- Can ROUGE-SU4 and ROUGE-SU3 metrics be used to identify specific areas of improvement in generated text, such as grammar or vocabulary usage?
- In what ways do ROUGE-SU4 and ROUGE-SU3 metrics account for n-gram overlap and uniqueness in evaluating generated text?
- How do ROUGE-SU4 and ROUGE-SU3 metrics compare to other automatic evaluation metrics, such as BLEU or METEOR, in evaluating generated text?
- Can ROUGE-SU4 and ROUGE-SU3 metrics be used to evaluate the quality of generated text in different domains or styles?
- What are the limitations of ROUGE-SU4 and ROUGE-SU3 metrics in evaluating the coherence and fluency of generated text?
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