Difference between revisions of "Allan 1988"
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| + | == Abstract == | ||
| + | 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 approach | ||
| + | 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. | ||
Revision as of 00:02, 2 October 2012
Allan James http://dl.acm.org/citation.cfm?id=290954&dl=ACM&coll=DL&CFID=119212228&CFTOKEN=52277574
Citation
@inproceedings{conf/sigir/AllanPL98,
author = {James Allan and
Ron Papka and
Victor Lavrenko},
title = {On-Line New Event Detection and Tracking},
booktitle = {SIGIR},
year = {1998},
pages = {37-45},
ee = {http://doi.acm.org/10.1145/290941.290954},
crossref = {conf/sigir/98},
}
Abstract
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 approach 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.
