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CMU Neural Nets for NLP 2018 - Document-Level Models
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- 1 Documentlevel Models
- 2 Recap
- 3 Tasks over documents
- 4 Language modeling
- 5 Longterm dependencies
- 6 Topic modeling
- 7 Evaluation
- 8 Coreference
- 9 Mention Detection
- 10 Model Components
- 11 Entity Mention Models
- 12 EntityCentric Models
- 13 Complex Features
- 14 Advantages
- 15 Coreference Resolution
- 16 Questions
- 17 Cluster level features
- 18 Model overview
- 19 Inference model
- 20 Why do I need coreference
- 21 Language modeling with coreference
- 22 Discourse parsing
- 23 Course parsing
- 24 Shift reduce parser
- 25 Discrete features
- 26 Recursive models
- 27 Complex models
- 28 Discourse relations
- 29 Discourse parse
- 30 Discourse dependency structure
- 31 Document classification
- 32 Document classification accuracy
