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Related Questions
- What are some strategies to minimize labeling effort in active learning for dialogue systems?
- How can you select the most informative and uncertain data points to prioritize labeling in active learning?
- Can you explain the concept of active learning in the context of dialogue systems and how it differs from passive learning?
- What are some ways to estimate the uncertainty of data points in dialogue systems for active learning?
- How can you adaptively update the labeling priorities in active learning dialogue systems based on new data or user feedback?
- Can you discuss the trade-off between exploration (labeling uncertain data points) and exploitation (using labeled data points) in active learning for dialogue systems?
- How can you design and optimize the labeling process in active learning dialogue systems to account for different user personas, tasks, and conversational flows?
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