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Related Questions
- What is the purpose of using ROUGE and BLEU scores in text summarization?
- Can you explain the key differences between ROUGE and BLEU scores in evaluating automatic text summarization systems?
- How do ROUGE and BLEU scores measure similarity between generated and reference summaries?
- What are some common limitations of ROUGE and BLEU scores in evaluating text summarization models?
- Can you provide examples of scenarios where ROUGE or BLEU scores would be more suitable for evaluating a text summarization model?
- How do ROUGE and BLEU scores handle out-of-vocabulary words in the generated and reference summaries?
- Can you discuss the trade-offs between ROUGE and BLEU scores in terms of precision, recall, and F1-score?
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