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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Main Authors: | , , , , |
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Format: | text |
Language: | English |
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Institutional Knowledge at Singapore Management University
2005
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Subjects: | |
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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