Title :
Fictional Simulation, Automatic Extraction of Key Scenes from Novels
Author :
Cant, R.J. ; Langensiepen, C.S. ; Purcell, J.
Author_Institution :
Sch. of Sci. & Technol., Nottingham Trent Univ., Nottingham, UK
fDate :
March 30 2011-April 1 2011
Abstract :
This paper proposes a method by which the contents of novels may be automatically parsed to extract the key events, characters, locations and significant objects. A technique of clustering relevant to the textual content of novels was derived in order to extract the pertinent elements. The resultant information is presented in the form of a timeline, which can be used to initiate the storyboarding of games based on novels.
Keywords :
computer games; feature extraction; pattern clustering; simulation; text analysis; automatic extraction; fictional simulation; games; key scenes; novels; storyboarding; textual content; Automated Scenario Generation; Computer Games; Machine Comprehension; Natural Language Processing;
Conference_Titel :
Computer Modelling and Simulation (UKSim), 2011 UkSim 13th International Conference on
Conference_Location :
Cambridge
Print_ISBN :
978-1-61284-705-4
Electronic_ISBN :
978-0-7695-4376-5
DOI :
10.1109/UKSIM.2011.28
