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Story and Text Generation through Computational Analogy in the Riu System

AuthorsOntañón, Santiago; Zhu, Jichen
Issue DateOct-2010
PublisherAAAI Press
AbstractA 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.
Description6 páginas, 6 figuras.-- Comunicación presentada al 6º Artificial Intelligence and Interactive Digital Entertainment celebrado en California (USA) del 11 al 13 de Octubre de 2010.
Publisher version (URL)http://www.aaai.org/Library/AIIDE/aiide10contents.php
Appears in Collections:(IIIA) Comunicaciones congresos
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