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1
Introduction
2
Why Storytelling
3
Story Generation
4
Applications
5
Explanations
6
History of Story Generation
7
Cognitive Science
8
Narrative Generation
9
Open Story Generation
10
Crowdsource Knowledge
11
Crowdsource Models
12
Evaluation Results
13
Recurrent Neural Networks
14
Example Sentences
15
Lessons
16
Preprocessing
17
Harry Potter
18
Storytelling
19
Finetuning
20
Corpus
21
Character Discovery
22
Theme Evaluation
23
Latent State
24
Knowledge Graph
25
Text Adventure Games
26
Intuition
27
Graph
28
Rules
29
Memory Networks
30
No Text Avengers
31
Action Actor Critic
32
Zork
33
Results
34
Knowledge Transfer
35
Story Generation Problem
36
Event to Event Knowledge Graph
37
Conclusion
38
Knowledge Graphs
Description:
Explore the challenges and advancements in automated story generation through this lecture by Dr. Mark Riedl, Associate Professor at the Georgia Tech School of Interactive Computing. Delve into the intersection of artificial intelligence and storytelling, examining key issues such as controlling text generation for goal-driven behavior and maintaining long-term world knowledge. Learn about the applications of AI in narrative creation, including computational creativity, explainable AI, and teaching virtual agents safe behaviors. Discover the history of story generation, cognitive science approaches, and recent developments in neural generative processes. Gain insights into crowdsourcing knowledge, evaluating generated stories, and using recurrent neural networks for text generation. Investigate techniques like character discovery, theme evaluation, and knowledge graphs in the context of automated storytelling. Understand the potential of AI in creating interactive narratives and text adventure games, and explore the broader implications of these technologies for artificial intelligence and natural language processing. Read more

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

Paul G. Allen School
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