Title
Story And Text Generation Through Computational Analogy In The Riu System
Abstract
A key challenge in computational narrative is story generation. In this paper we focus on analogy-based story generation, and, specifically, on how to generate both story and text using analogy. We present a dual representation formalism where a human-understandable representation (composed of English sentences) and a computer-understandable representation (consisting in a graph) are linked together in order to generate both story and natural language text by analogy. We have implemented our technique in the Riu interactive narrative system. Copyright © 2010, Association for the Advancement of Artificial.
Publication Date
12-1-2010
Publication Title
Proceedings of the 6th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2010
Number of Pages
51-56
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
Copyright Status
Unknown
Socpus ID
84866664838 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84866664838
STARS Citation
Ontañón, Santiago and Zhu, Jichen, "Story And Text Generation Through Computational Analogy In The Riu System" (2010). Scopus Export 2010-2014. 527.
https://stars.library.ucf.edu/scopus2010/527