Good Timing for Computational Models of Narrative Discourse

The temporal order in which story events are presented in discourse can greatly impact how readers experience narrative; however, it remains unclear how narrative systems can leverage temporal order to affect comprehension and experience. We define structural properties of discourse which provide a basis for computational narratologists to reason about good timing, such as when readers learn about event relationships.

[1]  S. Read,et al.  The role of causal sequence in the meaning of actions. , 1989, The British journal of social psychology.

[2]  Edward Branigan Narrative Comprehension and Film , 1992 .

[3]  Robert Michael Young,et al.  Suspenser: A Story Generation System for Suspense , 2015, IEEE Transactions on Computational Intelligence and AI in Games.

[4]  Rolf A. Zwaan,et al.  Situation models in language comprehension and memory. , 1998, Psychological bulletin.

[5]  Stephen G. Ware,et al.  Indexter : A Computational Model of the Event-Indexing Situation Model for Characterizing Narratives , 2012 .

[6]  T. Trabasso,et al.  Causal relatedness and importance of story events , 1985 .

[7]  Robert Michael Young,et al.  Cognitive models of discourse comprehension for narrative generation , 2014, Lit. Linguistic Comput..

[8]  Ro'i Zultan,et al.  Causal Responsibility and Counterfactuals , 2013, Cogn. Sci..

[9]  Robert Michael Young,et al.  Comparing Cognitive and Computational Models of Narrative Structure , 2004, AAAI.

[10]  S. Duffy,et al.  Degree of causal relatedness and memory , 1987 .

[11]  S. Chatman,et al.  Story and Discourse: Narrative Structure in Fiction and Film , 1979 .

[12]  R. Byrne,et al.  Temporal and causal order effects in thinking about what might have been , 2002, The Quarterly journal of experimental psychology. A, Human experimental psychology.

[13]  R. Michael Young,et al.  Using Grice's maxim of Quantity to select the content of plan descriptions , 1999, Artif. Intell..

[14]  G. Genette,et al.  Narrative discourse : an essay in method , 1980 .

[15]  Gabriel A. Radvansky,et al.  Different Kinds of Causality in Event Cognition , 2014 .

[16]  John Mikhail,et al.  Universal moral grammar: theory, evidence and the future , 2007, Trends in Cognitive Sciences.

[17]  Brian O'Neill,et al.  Dramatis: A Computational Model of Suspense , 2014, AAAI.