Comprehending Events from Tezt for Situation Assessment
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 cant 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.
Situation Assessment Event detection Natural Language
Feng Li Xinxi Feng LiFeng Qi
Institute of Telecommunication Engineering, Air Force Engineering University, Xi’an 710077
国际会议
2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)
广西桂林
英文
3924-3927
2009-06-17（万方平台首次上网日期，不代表论文的发表时间）