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Related Questions
- What are the key components of the ROUGE evaluation metric?
- How does ROUGE calculate similarity between machine-generated and human-written texts?
- What are the different variants of ROUGE algorithms used for similarity calculation?
- Can you explain the ROUGE-N and ROUGE-L algorithms in detail?
- How does ROUGE handle out-of-vocabulary words in similarity calculation?
- What are the advantages and limitations of using ROUGE for text similarity evaluation?
- Can you provide an example use case of ROUGE in a real-world natural language processing application?
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