Neural Nets for NLP - Document Level Models

Neural Nets for NLP - Document Level Models

Graham Neubig via YouTube Direct link

Document Problems: Entity Coreference Queen Elizabeth set about transforming her husband. King

3 of 22

3 of 22

Document Problems: Entity Coreference Queen Elizabeth set about transforming her husband. King

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Neural Nets for NLP - Document Level Models

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

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