Using Common-Sense Knowledge in Generating Stories

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.