On-line New Event Detection and Tracking

On-line New Event Detection and Tracking (1998)

by James Allan, et al.

Citations:

106 - 4 self

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Datum	Value	Source
TITLE	On-line New Event Detection and Tracking	SVM HeaderParse 0.2
AUTHOR NAME	James Allan, et al.	user correction
ABSTRACT	We define and describe the related problems of new event detection and event tracking within a stream of broadcast news stories. We focus on a strict on-line setting-i.e., the system must make decisions about one story before looking at any subsequent stories. Our approach to detection uses a single pass clustering algorithm and a novel thresholding model that incorporates the properties of events as a major component. Our ap-proach to tracking is similar to typical information filtering methods. We discuss the value of “surprising” features that have unusual occurrence characteristics, and briefly explore on-line adaptive filtering to handle evolving events in the news. New event detection and event tracking are part of the Topic Detection and Tracking (TDT) initiative.	user correction
YEAR	1998	user correction
CITATIONS	22 found	ParsCit 1.0