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Related Questions
- What are some common pitfalls to avoid when creating annotated datasets for context-dependent language understanding?
- How can data annotators ensure that annotated datasets accurately reflect the nuances of human communication?
- What are some effective strategies for scaling up the annotation process while maintaining data quality?
- How can annotated datasets be evaluated for their effectiveness in supporting context-dependent language understanding models?
- What role do gold standard datasets play in the development of context-dependent language understanding models?
- Can you elaborate on the importance of domain-specific knowledge in creating high-quality annotated datasets for language understanding?
- What are some best practices for creating annotated datasets that capture the complexities of human language in different cultural contexts?
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