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Abstract: We describe the tracking and detection systems submitted by Dragon for the TDT2000 evaluation. Our research focus is on improving the distance measure between story and story collection, a computation which is central to many of the TDT tasks. In our tracking engine, we improved the measure by strengthening our targeting procedure, and introduced unsupervised adaptation on high-scoring test stories. Our detection engine uses a new measure, developed under tracking experiments, that performs... (Update)
Context of citations to this paper: More
...A notable exception is the recent work on supervised topic models for Topic Detection and Tracking (TDT) tasks. Researchers [12, 25, 26] used language modeling techniques to construct highly effective topic models from a small number of training stories. In section 4.3 we...
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BibTeX entry: (Update)
J. Yamron, S. Knecht, and P. van Mulbregt. Dragon's tracking and detection systems for the TDT2000 evaluation. In Proceedings of Topic Detection and Tracking Workshop, pp 75-80, 2000. http://citeseer.ist.psu.edu/yamron00dragons.html More
@misc{ yamron00dragons,
author = "J. Yamron and S. Knecht and P. van Mulbregt",
title = "Dragon's tracking and detection systems for the TDT2000 evaluation",
text = "J. Yamron, S. Knecht, and P. van Mulbregt. Dragon's tracking and detection
systems for the TDT2000 evaluation. In Proceedings of Topic Detection and
Tracking Workshop, pp 75-80, 2000.",
year = "2000",
url = "citeseer.ist.psu.edu/yamron00dragons.html" }
Citations (may not include all citations):116 Topic Detection and Tracking Pilot Study: Final Report - Allan, Carbonell et al. - 1998
69 On Structuring Probabilistic Dependences in Stochastic Langu.. (context) - Ney, Essen et al. - 1994
39 A Hidden Markov Model Approach to Text Segmentation and Even.. (context) - Yamron, Carp et al. - 1998
12 Topic Tracking in a News Stream - Yamron, Carp et al. - 1999
11 Text Segmentation and Topic Tracking on Broadcast News via a.. (context) - van Mulbregt, Yamron et al. - 1998
8 Segmentation of Automatically Transcribed Broadcast News Tex.. - van Mulbregt, Carp et al. - 1999
8 The Beta-Binomial Mixture Model and Its Application to TDT T.. - Lowe - 1999
6 The Beta-Binomial Mixture Model for Word Frequencies in Docu.. - Lowe - 1999
3 Statistical Models for Tracking and Detection - Yamron, Gillick et al. - 2000
3 Event Tracking and Text Segmentation via Hidden Markov Model.. (context) - Yamron, Carp et al. - 1997
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