STRIDER: Semantic Targeting of Relevant Individuals, Dispositions, Events, and Relations
The proposed STRIDER (Semantic Targeting of Relevant Individuals, Dispositions, Events, and Relations) technology combines an open source semantic parser with task-specific knowledge structures and diagram-based user interfaces to automatically extract, display, and record mission-relevant information for intelligence analysts. The approach works by (1) gathering details about the analyst's objectives using a link diagram interface, (2) performing semantic analysis to extract objective-relevant information from a large corpus, and (3) displaying and recording the extracted information for the analyst. STRIDER integrates with existing link diagram products to consume and enrich the information the analyst has gathered and recorded through other means. This ultimately reduces the time and cognitive load of finding, analyzing, and recording information for intelligence analysis problems. STRIDER is semi-automatic information extraction technology that is guided by the user's objectives and the user's attention.
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Principal Research Scientist
Vice President of Research and Dev.
Smart Information Flow Technologies, d/b/a SIFT
211 N 1st St. Suite 300 Minneapolis, MN -
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