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Related Questions
- What are the potential consequences of selecting a diverse set of queries on the overall performance of an active learning model in NLP?
- How does the choice of query selection strategy affect the reduction of annotation bias in active learning for text classification tasks?
- Can you elaborate on the relationship between diversity in query selection and the quality of human annotations in active learning for NLP applications?
- In what ways can a diverse set of queries help mitigate the impact of annotation bias on the accuracy of NLP models?
- What are some common methods for ensuring diversity in query selection for active learning in NLP, and what are their strengths and weaknesses?
- How does the trade-off between diversity and representativeness impact the effectiveness of query selection in active learning for NLP?
- Can you discuss the role of query selection in addressing the issue of annotation bias in NLP, and how it relates to the broader goal of achieving more accurate and reliable models?
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