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Related Questions
- How does diversity in query selection impact the performance of active learning in NLP for sentiment analysis tasks?
- What are the key factors that influence diversity in query selection for active learning in NLP, and how can they be optimized?
- Can you provide examples of query selection strategies that promote diversity in active learning for NLP tasks such as named entity recognition and text classification?
- How does the choice of diversity metric affect the effectiveness of active learning for NLP tasks like sentiment analysis and question answering?
- What is the role of uncertainty estimation in query selection for active learning in NLP, and how can it be used to promote diversity?
- Can you discuss the relationship between diversity in query selection and the quality of the labeled data in active learning for NLP tasks?
- How can active learning with diversity-promoting query selection be applied to real-world NLP applications such as conversational AI and chatbots?
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