Comprehending events from text for situation assessment

Abstract

Situation assessment becomes more and more popular accompanies the development of information fusion. Event is very important for situation assessment as a basic situation element. But the existing event detection technology can't satisfy the need of situation assessment. A framework of comprehending events from text for situation assessment is proposed. In this framework, events are not only extracted but also associated in order to improve the reliability and exaction; events are organized as clusters to make them clearer; the relations among events are analyzed to understand the underlying truth. The technologies that needed to support the framework are proposed to show the bases of this framework.