Agenda-based Narrative Extraction: Steering Pathfinding Algorithms with Large Language Models

1. 1Combine large language models with pathfinding algorithms to generate narrative paths
2. 2Use agenda-based narrative extraction to steer the pathfinding algorithms and improve coherence
3. 3Evaluate the trade-offs between coherence, interactivity, and multi-storyline support in narrative extraction methods
4. 4Apply the proposed method to various narrative extraction tasks and compare with existing methods

This research benefits natural language processing engineers and AI researchers working on narrative extraction and generation, as it provides a new approach to balancing coherence and interactivity

💡 Agenda-based narrative extraction can balance coherence and interactivity in narrative generation by leveraging large language models and pathfinding algorithms

💡 Agenda-based Narrative Extraction: steering pathfinding algorithms with LLMs for improved narrative coherence & interactivity