Event-driven document selection for terrorism

• Main Authors: SUN, Zhen, LIM, Ee Peng, CHANG, Kuiyu, ONG, Teng-Kwee, Gunaratna, Rohan Kumar
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2005
• Subjects: Artificial intelligence; Pattern extraction; Entity relationship model; Document selection; Information extraction; Terrorism; Reactive system; Computer security; Databases and Information Systems; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/890; https://ink.library.smu.edu.sg/context/sis_research/article/1889/viewcontent/Sun2005_Chapter_Event_DrivenDocumentSelectionF.pdf
• Institution: Singapore Management University

In this paper, we examine the task of extracting information about terrorism related events hidden in a large document collection. The task assumes that a terrorism related event can be described by a set of entity and relation instances. To reduce the amount of time and efforts in extracting these...