Bridging Topics for Story Generation

Authors:
Makoto Sato;Mina Akaishi;Koichi Hori
Affiliations:
Department of Aeronautics and Astronautics, The University of Tokyo, Japan;Department of Aeronautics and Astronautics, The University of Tokyo, Japan;Department of Aeronautics and Astronautics, The University of Tokyo, Japan
Venue:
Proceedings of the 2011 conference on Information Modelling and Knowledge Bases XXII
Year:
2011

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Abstract

This paper introduces a method for bridging topics designed to facilitate generating stories over documents. First, we present a method for topic extraction based on narrative structure with k-means algorithm. We then model the story generation process and present a method for finding a bridge document between two documents.