Anticipatory Event Detection via Sentence Classification
Conference Proceeding Article
The idea of event detection is to identify interesting patterns from a constant stream of incoming news documents. Previous research in event detection has largely focused on identifying the first event or tracking subsequent events belonging to a set of pre-assigned topics such as earthquakes, airline disasters, etc. In this paper, we propose a new problem, called Anticipatory Event Detection (AED), which aims to detect if a user-specified event has transpired. AED can be viewed as a personalized combination of event tracking and new event detection. We propose using a sentence classification approach to solve the AED problem for a restricted domain; detecting articles that describe final game results from NBA basketball news. Experimental results demonstrate the feasibility of our proposed AED solution.
Databases and Information Systems | Numerical Analysis and Scientific Computing
Data Management and Analytics
IEEE International Conference on Systems, Man and Cybernetics (SMC2006)
City or Country
HE, Qi; CHANG, Kuiyu; and LIM, Ee Peng.
Anticipatory Event Detection via Sentence Classification. (2006). IEEE International Conference on Systems, Man and Cybernetics (SMC2006). Research Collection School Of Information Systems.
Available at: http://ink.library.smu.edu.sg/sis_research/926
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