Abstract Details
Activity Number:
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179
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Type:
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Contributed
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Date/Time:
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Monday, August 4, 2014 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Statistics in Defense and National Security
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Abstract #311952
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View Presentation
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Title:
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Storytelling: Chains and Maps
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Author(s):
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John Rigsby*+ and Daniel Barbará and Jeffrey Solka
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Companies:
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Naval Surface Warfare Center and George Mason University and Naval Surface Warfare Center
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Keywords:
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storytelling ;
topic models ;
literature-based discovery ;
text mining ;
knowledge discovery ;
topic tracking
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Abstract:
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Automated storytelling attempts to create a chain of documents linking one article to another one, telling a coherent and cohesive story to explain the events that connect the two article end points. In our world of ever more numerous sources of information, including scientific publications, news articles, web resources, emails, blogs, tweets, etc., automated storytelling mitigates information overload by presenting readers with the clarified chain of information most pertinent to their needs.
The automated storytelling model represents the transition of document themes through time by showing all possible story chains over the relevant time windows. A story map, one of the model outputs, consists of the many possible story chains mapped into a graph; it is a thematic mapping of the documents, showing the evolution of science, news, and patents over time.
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Authors who are presenting talks have a * after their name.
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