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Improving the Performance of Topic Tracking System by Ensemble

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2 Author(s)
Xiangju Qin ; Coll. of Inf. Eng., Northwest A&F Univ., Yangling ; Yang Zhang

The aim of topic tracking is to monitor the stream of news stories to find additional stories on a topic that was identified by several sample stories. In this paper, we adopt majority voting to ensemble several topic tracking systems. The experiment results on TDT3 corpus show that our ensemble topic tracking system performs better than each individual topic tracking system, and that the performance of topic tracking system could be improved by ensemble technology.

Published in:

Computer Science and Software Engineering, 2008 International Conference on  (Volume:4 )

Date of Conference:

12-14 Dec. 2008