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Related Questions
- How do metrics such as Intrinsic Plausibility, Fluency, and Overall Coherence score help in evaluating creative writing in natural language processing?
- What is the purpose of using metrics like Gail and C-Gale in assessing coherence in texts?
- What are the key differences between metrics like BLEU, ROUGE, and CIDEr in evaluating natural language generation?
- How do machine learning models like transformers and generative adversarial networks help in evaluating creative writing and coherence?
- What are some common biases and limitations in using traditional metrics to evaluate coherence in writing?
- How do human evaluators use metrics like human-annotated data and judgment to evaluate coherence and creative writing?
- What are some new developments and future directions in creative writing assessment in natural language processing?
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