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Content Analysis for Proactive Intelligence: Marshaling Frame Evidence

TitleContent Analysis for Proactive Intelligence: Marshaling Frame Evidence
Publication TypeConference Paper
Year of Publication2007
AuthorsSanfilippo A, Cowell AJ, Tratz S, Boek AM, Cowell AK, Posse C, Pouchard L C
Conference Name22nd Conference on Artificial Intelligence (AAAI 2007)
Conference LocationVancouver, Canada

Modeling and simulation have great potential as technologies capable of aiding analysts in making accurate predictions of future situations to help provide competitive advantage and avoid strategic surprise. However, to make modeling and simulation effective, an evidence-marshaling process is needed that addresses the information needs of the modeling task, as detailed by subject matter experts. We suggest that such an evidence-marshaling process can be obtained by combining natural language processing and content analysis techniques to provide quantified qualitative content assessments, and describe a case study on the acquisition and marshaling of frames from unstructured text.