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Related Questions
- What is the primary goal of representative sampling in active learning for NLP?
- How does representative sampling differ from other active learning strategies, such as uncertainty sampling?
- What are some common techniques used to achieve representative sampling in NLP tasks, such as text classification or sentiment analysis?
- Can you provide an example of a dataset where representative sampling would be particularly useful, such as a dataset with class imbalance?
- How does representative sampling impact the performance of a model in downstream tasks, such as question answering or language translation?
- What are some potential challenges or limitations of representative sampling in NLP, such as computational complexity or data availability?
- How can representative sampling be combined with other active learning strategies, such as uncertainty sampling or transfer learning, to improve diversity in query selection?
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