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Related Questions
- What role does human annotation play in improving the accuracy of natural language processing models?
- How do annotated datasets contribute to the development of more robust language understanding models?
- What are the key challenges in creating high-quality annotated datasets for context-dependent language understanding?
- Can you explain the difference between in-domain and out-of-domain annotation in the context of language understanding?
- What is the impact of annotation quality on the performance of language models in real-world applications?
- How does annotation influence the development of explainability and interpretability in language models?
- What are some strategies for ensuring data quality and consistency in large-scale annotation efforts?
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