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Fundamental Ideas
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Classroom Contents
CMU Multilingual NLP: Active Learning
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- 1 Intro
- 2 Types of Learning
- 3 Active Learning Pipeline
- 4 Why Active Learning?
- 5 Fundamental Ideas
- 6 Uncertainty Paradigms
- 7 Query by Committee
- 8 Sequence-level Uncertainty Measures
- 9 Training on Token Level
- 10 Token-level Representativeness Metrics
- 11 Sequence-to-sequence Uncertainty Metrics
- 12 Human Effort and Active Learning • In simulation, it's common to assess active learning based on words/sentences annotated
- 13 Considering Cost in Active Learning
- 14 Reusability of Active Learning Annotations
- 15 Discussion Question
