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Related Questions
- What are the limitations of ROUGE score in evaluating machine translation quality?
- How does ROUGE score compare to other metrics for evaluating text summarization performance?
- Can ROUGE score be used for evaluating the fluency of machine-generated text?
- What are some common use cases of ROUGE score in text summarization pipelines?
- How does ROUGE score handle out-of-vocabulary words in machine translation?
- Can ROUGE score be used for evaluating the coherence of machine-generated text?
- What are some common challenges in interpreting ROUGE score results for machine translation and text summarization?
- Can ROUGE score be used for comparing the performance of different machine translation systems?
- How does ROUGE score account for the order of sentences in a summary?
- What are some ways to improve the accuracy of ROUGE score for text summarization?
- Can ROUGE score be used for evaluating the readability of machine-generated text?
- How does ROUGE score relate to other metrics such as BLEU and METEOR for machine translation evaluation?
- Can ROUGE score be used for evaluating the quality of abstractive summaries?
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