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Related Questions
- What are the key factors that influence the trade-off between diversity and informativeness in query selection for active learning in NLP?
- How do different diversity metrics (e.g., entropy, mutual information) impact the informativeness of the selected queries?
- Can you discuss the role of uncertainty estimates (e.g., confidence scores, prediction probabilities) in balancing diversity and informativeness in query selection?
- How do different active learning strategies (e.g., uncertainty sampling, query-by-committee) affect the trade-off between diversity and informativeness?
- What are some common pitfalls to avoid when balancing diversity and informativeness in query selection for active learning in NLP?
- Can you provide examples of successful applications of active learning in NLP where diversity and informativeness were balanced effectively?
- How can the trade-off between diversity and informativeness be visualized and analyzed in the context of active learning in NLP?
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