Abstract
A problem with most story generation systems is the lack of an adequately-sized body of knowledge to generate stories from. This paper presents an approach that focuses on providing a large amount of common-sense knowledge to automatic story generators while keeping extensive manual handcrafting of knowledge to a minimum. It does so by combining manually-created resources with freely-available common-sense knowledge in machine-readable format for the generation of stories.
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Yu, S., Ong, E. (2012). Using Common-Sense Knowledge in Generating Stories. In: Anthony, P., Ishizuka, M., Lukose, D. (eds) PRICAI 2012: Trends in Artificial Intelligence. PRICAI 2012. Lecture Notes in Computer Science(), vol 7458. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32695-0_82
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DOI: https://doi.org/10.1007/978-3-642-32695-0_82
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