Paper: Learning to Tell Tales: A Data-driven Approach to Story Generation

ACL ID P09-1025
Title Learning to Tell Tales: A Data-driven Approach to Story Generation
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2009
Authors

Computational story telling has sparked great interest in artificial intelligence, partly because of its relevance to educa- tional and gaming applications. Tradition- ally, story generators rely on a large repos- itory of background knowledge contain- ing information about the story plot and its characters. This information is detailed and usually hand crafted. In this paper we propose a data-driven approach for gen- erating short children’s stories that does not require extensive manual involvement. We create an end-to-end system that real- izes the various components of the gen- eration pipeline stochastically. Our system follows a generate-and-and-rank approach where the space of multiple candidate sto- ries is pruned by considering whether they are plausible, interesting, and cohere...