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Related Questions
- What are the key differences between human evaluation and automated evaluation metrics for assessing language model performance?
- How do human evaluators provide a more nuanced understanding of a pre-trained language model's ability to categorize entities?
- What are the limitations of relying solely on automated evaluation metrics for assessing entity categorization tasks?
- Can human evaluation provide insights into the language model's ability to generalize to unseen data?
- How do human evaluators assess the context-dependent performance of a pre-trained language model on entity categorization tasks?
- What are the advantages of using a combination of human evaluation and automated metrics for assessing language model performance?
- Can human evaluation help identify bias in the language model's entity categorization decisions?
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