Title

Anticipatory Event Detection via Sentence Classification

Publication Type

Conference Proceeding Article

Publication Date

10-2006

Abstract

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.

Discipline

Databases and Information Systems | Numerical Analysis and Scientific Computing

Research Areas

Data Management and Analytics

Publication

IEEE International Conference on Systems, Man and Cybernetics (SMC2006)

Identifier

10.1109/ICSMC.2006.384554

Publisher

IEEE

City or Country

Taipei, Taiwan

Additional URL

http://dx.doi.org/10.1109/ICSMC.2006.384554

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