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Introduction
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Classroom Contents
Data Labeling for Search Relevance Evaluation
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- 1 Introduction
- 2 Problem
- 3 Pipeline
- 4 Metrics
- 5 Sampling
- 6 Crowdsourcing
- 7 Aggregation
- 8 Crowdkit
- 9 N squared
- 10 Questions
- 11 What about crowdsourcing
- 12 Accuracy vs data set size
- 13 Expert manual labeling
- 14 Conclusion
- 15 Resources
- 16 QA
- 17 QA Questions
- 18 Reshare
- 19 Leakage
- 20 Andreas
- 21 Sampling after sampling
- 22 Sampling algorithm
- 23 Pairwise judgments
- 24 Chat window
- 25 Upcoming events
