Merits of Hierarchical Story and Discourse Planning with Merged Languages

Authors

  • David Winer University of Utah
  • R. Michael Young University of Utah

DOI:

https://doi.org/10.1609/aiide.v13i1.12945

Keywords:

narrative generation, hierarchical planning

Abstract

A hierarchical, bipartite model can characterize many complex narrative phenomena associated with coordinating plot and communication in storytelling (e.g., cinematography), but the predominant pipeline-based strategy for generating narratives has inadvertently limited the expressiveness of storytelling systems. We introduce computational steps for merging story and discourse languages in plan-based storytelling systems with hierarchical knowledge which avoids this problem and motivates more expressive narrative discourse reasoning.

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Published

2021-06-25

How to Cite

Winer, D., & Young, R. M. (2021). Merits of Hierarchical Story and Discourse Planning with Merged Languages. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 13(1), 262-268. https://doi.org/10.1609/aiide.v13i1.12945