Abstract : This paper addresses the problem of plot controllable story generation model. Since most of the previous works focus on logically flawless plot, the main challenge is the need for more generic method to generate dramatic and interesting plot. Motivated by this background, this paper proposes a computational method for plot controllable story generation. Firstly, we use planning as a model of plot generation. Then we utilize author intentions as plot constraints to force the planner to consider substantially more complex plans. Finally we integrate author intentions into planning and develop a plot controllable Graphplan algorithm. Experimental results demonstrate the effectiveness of our approach.
Zhongzhi Shi; David Leake; Sunil Vadera. 7th International Conference on Intelligent Information Processing (IIP), Oct 2012, Guilin, China. Springer, IFIP Advances in Information and Communication Technology, AICT-385, pp.177-185, 2012, Intelligent Information Processing VI. 〈10.1007/978-3-642-32891-6_23〉
https://hal.inria.fr/hal-01524957
Contributeur : Hal Ifip
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Soumis le : vendredi 19 mai 2017 - 10:43:17
Dernière modification le : vendredi 3 novembre 2017 - 22:24:07
Document(s) archivé(s) le : lundi 21 août 2017 - 00:52:00
Feng Zhu, Cungen Cao. Towards an Author Intention Based Computational Model of Story Generation. Zhongzhi Shi; David Leake; Sunil Vadera. 7th International Conference on Intelligent Information Processing (IIP), Oct 2012, Guilin, China. Springer, IFIP Advances in Information and Communication Technology, AICT-385, pp.177-185, 2012, Intelligent Information Processing VI. 〈10.1007/978-3-642-32891-6_23〉. 〈hal-01524957〉
