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Related Questions
- What are the key differences between ROUGE and BLEU evaluation metrics in evaluating text generation models?
- How does the choice of evaluation metric affect the quality of generated text in terms of fluency and coherence?
- Can you explain the concept of perplexity and its relation to evaluation metrics in natural language processing?
- What are the limitations of using automatic metrics for evaluating text quality, such as perplexity and ROUGE?
- How does the evaluation metric influence the training process of language models, particularly in terms of optimization and fine-tuning?
- What are some common evaluation metrics used in natural language processing, and how do they relate to human judgment of text quality?
- Can you discuss the trade-off between evaluation metrics, such as fluency and relevance, in the context of text generation models?
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