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Related Questions
- How do uniform and weighted sampling differ in terms of their impact on analogy generation quality?
- What are the advantages and disadvantages of using uniform sampling versus weighted sampling in negative sampling strategies?
- Can you explain how the choice of sampling method affects the diversity and accuracy of generated analogies?
- How do the probability distributions of uniform and weighted sampling influence the selection of negative samples?
- What are some common use cases where uniform sampling is preferred over weighted sampling, and vice versa?
- How can the performance of analogy generation models be evaluated and compared across different sampling strategies?
- What are some potential pitfalls or biases that can arise from using uniform or weighted sampling in analogy generation, and how can they be mitigated?
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