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Title: Story and Text Generation through Computational Analogy in the Riu System
Authors: Ontañón, Santiago, Zhu, Jichen
Issue Date: Oct-2010
Publisher: AAAI Press
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.
Description: 6 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.
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Citation: AIIDE-10
Appears in Collections:(IIIA) Comunicaciones congresos
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