Information Processing and Management: an International Journal
Attention, intentions, and the structure of discourse
Computational Linguistics
Advances in domain independent linear text segmentation
NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
Multi-paragraph segmentation of expository text
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
From Linear Story Generation to Branching Story Graphs
IEEE Computer Graphics and Applications
Multiple correspondence analysis for "tall" data sets
Intelligent Data Analysis
A new contiguity-constrained agglomerative hierarchical clustering algorithm for image segmentation
CAEPIA'09 Proceedings of the Current topics in artificial intelligence, and 13th conference on Spanish association for artificial intelligence
Level-of-detail stories as a virtual museum of a movie
ICIDS'10 Proceedings of the Third joint conference on Interactive digital storytelling
Tag clouds for displaying semantics: the case of filmscripts
Information Visualization
Measuring synchrony in dialog transcripts
COST'11 Proceedings of the 2011 international conference on Cognitive Behavioural Systems
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We analyze the style and structure of story narrative using the case of film scripts. The practical importance of this is noted, especially the need to have support tools for television movie writing. We use the Casablanca film script, and scripts from six episodes of CSI (Crime Scene Investigation). For analysis of style and structure, we quantify various central perspectives discussed in McKee's book, Story: Substance, Structure, Style, and the Principles of Screenwriting. Film scripts offer a useful point of departure for exploration of the analysis of more general narratives. Our methodology, using Correspondence Analysis and hierarchical clustering, is innovative in a range of areas that we discuss. In particular this work is groundbreaking in taking the qualitative analysis of McKee and grounding this analysis in a quantitative and algorithmic framework.