Event-driven document selection for terrorism

Event-driven document selection for terrorism

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...

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Bibliographic Details
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
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Institution: Singapore Management University
Language: English

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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

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