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Related Questions
- How can active learning be applied to multi-turn dialogue systems to improve their efficiency and effectiveness?
- What are some potential techniques for selecting the most informative and representative samples for active learning in dialogue applications?
- Can active learning be used to improve the robustness of dialogue systems to out-of-vocabulary words and unexpected user input?
- How can active learning be integrated with other machine learning techniques, such as transfer learning and few-shot learning, to improve dialogue system performance?
- What are some challenges and limitations of applying active learning to dialogue systems, and how can they be addressed?
- Can active learning be used to improve the user experience in dialogue systems, such as by reducing the number of turns required to complete a task?
- How can active learning be used to develop dialogue systems that can learn from user feedback and adapt to changing user preferences and behaviors?
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