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Related Questions
- What are the key differences between uncertainty sampling, expected model change, and expected utility sampling strategies in active learning for dialogue systems?
- How do the different sampling strategies impact the efficiency of active learning in dialogue systems, and what are their trade-offs?
- Can you explain how to implement uncertainty sampling with a Bayesian neural network for a dialogue system?
- What is the role of expected model change in active learning for dialogue systems, and how is it calculated?
- How does the expected utility sampling strategy take into account the user's goals and preferences in active learning for dialogue systems?
- What are some common challenges in implementing active learning for dialogue systems, and how can sampling strategies help address them?
- Can you provide an example of how to use active learning with uncertainty sampling to improve the accuracy of a dialogue system on a specific task?
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