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Intro
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Classroom Contents
Neural Nets for NLP - Document Level Models
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- 1 Intro
- 2 Their Counter-part in Documents
- 3 Document Problems: Entity Coreference Queen Elizabeth set about transforming her husband. King
- 4 Mention(Noun Phrase) Detection
- 5 Coreference Models:Instances
- 6 Mention Pair Models Queen Elizabeth set about Model Classty the coreference relation
- 7 Entity Models: Entity-Mention Models Are the genders all Is the cluster containing
- 8 Ranking Models
- 9 Latent Tree Models (Bjorkelund and Kuhn, 2014)
- 10 Problems in Coreference: revisited Instance Problem We've introduced 4 different modeling methods, many seem to work in their own settings • Feature Problem
- 11 Problems in Coreference: revisited Instance Problem . We've introduced 4 different modeling methods, many seem to work in their own settings. • Feature Problem
- 12 Error Driven Analysis (Kummerfeld and Klein, 2013)
- 13 Easy Victories & Uphill Battles
- 14 Deep Reinforcement Learning for Mention-Ranking Coreference Models
- 15 End-to-End Neural Coreference (Span Model)
- 16 Quality of Mentions
- 17 Ablations of modules
- 18 Error Type Revisited
- 19 Discourse Parsing w/ Attention- based Hierarchical Neural Networks
- 20 Document Problems: Discourse Unit Prediction
- 21 Predicting Discourse Units are similar to Language Modeling
- 22 Story Completion Task
