Probabilistic models for topic detection and tracking

被引：2
|
作者：
Walls, F [1 ]
Jin, H [1 ]
Sista, S [1 ]
Schwartz, R [1 ]
机构：
[1] BBN Technol, GTE, Cambridge, MA 02138 USA
来源：
ICASSP '99: 1999 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, PROCEEDINGS VOLS I-VI | 1999年
关键词：
D O I：
10.1109/ICASSP.1999.758177
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
We present probabilistic models for use in detecting and tracking topics in broadcast news stories. Our information retrieval (IR) models are formally explained. The Topic Detection and Tracking (TDT) initiative is discussed. The application of probabilistic models to the topic detection and tracking tasks is developed, and enhancements are discussed. We discuss four variations of these models, and we report our preliminary test results from the current TDT corpus.
引用
收藏
页码：521 / 524
页数：4
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