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Random Word Retrieval for Automatic Story Generation

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dc.contributor.author Colon, Richard S. en_US
dc.contributor.author Patra, Prabir en_US
dc.contributor.author Elleithy, Khaled M. en_US
dc.date.accessioned 2014-07-16T16:41:06Z
dc.date.available 2014-07-16T16:41:06Z
dc.date.issued 2014-03-28 en_US
dc.identifier.uri https://scholarworks.bridgeport.edu/xmlui/handle/123456789/545
dc.description.abstract Over the past forty years, significant research has been done on story/narrative generation, in which the computer is the author. While it is impossible to quantify a human writer’s inspiration, we can consider a common exercise that authors perform; namely ‘writing prompts’. A writing prompt is just a topic or idea around which to start writing. The prompt can simply be a few words, which becomes the basis for a story. Our automatic story generation system, will select a few random words as parameters (i.e. ‘inspiration’) for driving the ‘creative writing’ process. Here we present the results generated by the initial phase of system development and testing of the word selection components. en_US
dc.language.iso en_US en_US
dc.subject Engineering en_US
dc.subject Faculty research day en_US
dc.subject Automatic story generation en_US
dc.title Random Word Retrieval for Automatic Story Generation en_US
dc.type Presentation en_US
dc.institute.department School of Engineering en_US
dc.institute.name University of Bridgeport en_US
dc.event.location Bridgeport, CT en_US
dc.event.name Faculty Research Day en_US

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