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Related Questions
- What are the key differences between active learning and traditional supervised learning in the context of dialogue systems?
- How do you address the issue of annotating a representative sample of data for active learning in dialogue systems?
- What are the most common methods used to select the most informative samples for active learning in dialogue systems?
- How do you balance the trade-off between exploration and exploitation in active learning for dialogue systems?
- What are the potential drawbacks of using active learning in dialogue systems, such as increased annotation time or decreased model performance?
- How can you incorporate user feedback into the active learning process in dialogue systems to improve model performance?
- What are the key challenges in adapting active learning to multi-turn dialogue systems, such as handling context-dependent responses?
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