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AAAI
2007

Content Analysis for Proactive Intelligence: Marshaling Frame Evidence

14 years 1 months ago
Content Analysis for Proactive Intelligence: Marshaling Frame Evidence
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.
Antonio Sanfilippo, Andrew J. Cowell, Stephen Trat
Added 02 Oct 2010
Updated 02 Oct 2010
Type Conference
Year 2007
Where AAAI
Authors Antonio Sanfilippo, Andrew J. Cowell, Stephen Tratz, A. M. Boek, Amanda K. Cowell, Christian Posse, Line C. Pouchard
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