Natural Language Processing - Mark Riedl - Georgia Tech School of Interactive Computing

Natural Language Processing - Mark Riedl - Georgia Tech School of Interactive Computing

Paul G. Allen School via YouTube Direct link

Introduction

1 of 38

1 of 38

Introduction

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Classroom Contents

Natural Language Processing - Mark Riedl - Georgia Tech School of Interactive Computing

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  1. 1 Introduction
  2. 2 Why Storytelling
  3. 3 Story Generation
  4. 4 Applications
  5. 5 Explanations
  6. 6 History of Story Generation
  7. 7 Cognitive Science
  8. 8 Narrative Generation
  9. 9 Open Story Generation
  10. 10 Crowdsource Knowledge
  11. 11 Crowdsource Models
  12. 12 Evaluation Results
  13. 13 Recurrent Neural Networks
  14. 14 Example Sentences
  15. 15 Lessons
  16. 16 Preprocessing
  17. 17 Harry Potter
  18. 18 Storytelling
  19. 19 Finetuning
  20. 20 Corpus
  21. 21 Character Discovery
  22. 22 Theme Evaluation
  23. 23 Latent State
  24. 24 Knowledge Graph
  25. 25 Text Adventure Games
  26. 26 Intuition
  27. 27 Graph
  28. 28 Rules
  29. 29 Memory Networks
  30. 30 No Text Avengers
  31. 31 Action Actor Critic
  32. 32 Zork
  33. 33 Results
  34. 34 Knowledge Transfer
  35. 35 Story Generation Problem
  36. 36 Event to Event Knowledge Graph
  37. 37 Conclusion
  38. 38 Knowledge Graphs

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