@InProceedings{doust-piwek:2017:INLG2017,
  author    = {Doust, Richard  and  Piwek, Paul},
  title     = {A model of suspense for narrative generation},
  booktitle = {Proceedings of the 10th International Conference on Natural Language Generation},
  month     = {September},
  year      = {2017},
  address   = {Santiago de Compostela, Spain},
  publisher = {Association for Computational Linguistics},
  pages     = {178--187},
  abstract  = {Most work on automatic generation of narratives, and more specifically
	suspenseful narrative, has focused on detailed domain-specific modelling of
	character psychology and plot structure. Recent work in computational
	linguistics on the automatic learning of narrative schemas suggests an
	alternative approach that exploits such schemas as a starting point for
	modelling and measuring suspense. We propose a domain-independent model for
	tracking suspense in a story which can be used to predict the audience's
	suspense response on a sentence-by-sentence basis at the content determination
	stage of narrative generation. The model lends itself as the theoretical
	foundation for a suspense module that is compatible with alternative narrative
	generation theories. The proposal is evaluated by human judges' normalised
	average scores correlate strongly with predicted values.},
  url       = {http://www.aclweb.org/anthology/W17-3527}
}