@inproceedings{doust-piwek-2017-model,
title = "A model of suspense for narrative generation",
author = "Doust, Richard and
Piwek, Paul",
editor = "Alonso, Jose M. and
Bugar{\'\i}n, Alberto and
Reiter, Ehud",
booktitle = "Proceedings of the 10th International Conference on Natural Language Generation",
month = sep,
year = "2017",
address = "Santiago de Compostela, Spain",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W17-3527",
doi = "10.18653/v1/W17-3527",
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.",
}
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%0 Conference Proceedings
%T A model of suspense for narrative generation
%A Doust, Richard
%A Piwek, Paul
%Y Alonso, Jose M.
%Y Bugarín, Alberto
%Y Reiter, Ehud
%S Proceedings of the 10th International Conference on Natural Language Generation
%D 2017
%8 September
%I Association for Computational Linguistics
%C Santiago de Compostela, Spain
%F doust-piwek-2017-model
%X 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.
%R 10.18653/v1/W17-3527
%U https://aclanthology.org/W17-3527
%U https://doi.org/10.18653/v1/W17-3527
%P 178-187
Markdown (Informal)
[A model of suspense for narrative generation](https://aclanthology.org/W17-3527) (Doust & Piwek, INLG 2017)
ACL
- Richard Doust and Paul Piwek. 2017. A model of suspense for narrative generation. In Proceedings of the 10th International Conference on Natural Language Generation, pages 178–187, Santiago de Compostela, Spain. Association for Computational Linguistics.