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

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.

Introduction
Why Storytelling
Story Generation
Applications
Explanations
History of Story Generation
Cognitive Science
Narrative Generation
Open Story Generation
Crowdsource Knowledge
Crowdsource Models
Evaluation Results
Recurrent Neural Networks
Example Sentences
Lessons
Preprocessing
Harry Potter
Storytelling
Finetuning
Corpus
Character Discovery
Theme Evaluation
Latent State
Knowledge Graph
Text Adventure Games
Intuition
Graph
Rules
Memory Networks
No Text Avengers
Action Actor Critic
Zork
Results
Knowledge Transfer
Story Generation Problem
Event to Event Knowledge Graph
Conclusion
Knowledge Graphs