The creative process: A computer model of storytelling

By S. Turner. 1994

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

A Corpus and Cloze Evaluation for Deeper Understanding of Commonsense Stories (2016, background): “Story understanding is an extremely challenging task in natural language understanding with a long-running history in AI (Charniak, 1972; Winograd, 1972; Turner, 1994; Schubert and Hwang, 2000).”
Narrative Planning: Balancing Plot and Character (2010, methodology): “The Minstrel system (Turner, 1994) implements a model of computational creativity based on adaptation and reuse of existing concepts to create new stories.”
Toward Automated Story Generation with Markov Chain Monte Carlo Methods and Deep Neural Networks (2021, methodology): “…techniques include symbolic and logical planning (Meehan 1977; Lebowitz 1987; Cavazza, Charles, and Mead 2002; Porteous and Cavazza 2009; P´erez y P´erez and Sharples 2001; Riedl and Young 2010; Martens et al. 2014; Farrell and Ware 2016) and case-based reasoning (Turner 1994; Gerv´as et al. 2005).”
Toward Vignette-Based Story Generation for Drama Management Systems (2007, background): “There are many approaches to story generation (e.g., [5, 9, 10, 13, 16, 22]).”