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Machine Reading
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Classroom Contents
Neural Nets for NLP 2021 - Machine Reading with Neural Nets
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- 1 Introduction
- 2 Machine Reading
- 3 Multiple Choice Questions
- 4 Span Selection Tasks
- 5 Closed Questions
- 6 Why Machine Reading
- 7 Attention Models
- 8 Attention Flow
- 9 Span Selection
- 10 Refinement
- 11 Multistep reasoning
- 12 Multistep data sets
- 13 Multihop reasoning
- 14 Retrievalbased question answering
- 15 Language models
- 16 Question decomposition
- 17 Question answering with context
- 18 Data bias
- 19 Reading comprehension example
- 20 Daily Mail example
- 21 adversarial examples
- 22 adversarial data sets
- 23 natural questions
- 24 symbolic reasoning
- 25 semantic parsing
- 26 outro
