Story and Text Generation through Computational Analogy in the Riu System

Authors

  • Santiago Ontanon Artificial Intelligence Research Institute, IIIA-CSIC Barcelona, Spain
  • Jichen Zhu Department of Digital Media University of Central Florida (UCF) Orlando, USA

Keywords:

story generation, computational analogy

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.

Downloads

Published

2010-10-10

How to Cite

Ontanon, S., & Zhu, J. (2010). Story and Text Generation through Computational Analogy in the Riu System. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 6(1), 51-56. Retrieved from https://ojs.aaai.org/index.php/AIIDE/article/view/12391