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Statistical Models for Text Segmentation
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Event tracking based on domain dependency
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SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
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SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
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Speech Communication - Special issue on accessing information in spoken audio
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IEEE Intelligent Systems
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ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
TopCat: Data Mining for Topic Identification in a Text Corpus
PKDD '99 Proceedings of the Third European Conference on Principles of Data Mining and Knowledge Discovery
Integrating prosodic and lexical cues for automatic topic segmentation
Computational Linguistics
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Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
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Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
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ICWE'07 Proceedings of the 7th international conference on Web engineering
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Topic Detection and Tracking (TDT) refers to automatic techniques for discovering, threading, and retrieving topically related material in streams of data. Newswire and broadcast news are the canonical sources. In 1999, TDT research was extended from English to Chinese, and carefully annotated multilingual corpora were created. Researchers devised clever approaches to the cross-language challenge, and formal performance evaluations yielded very promising results. This paper outlines the 1999 research tasks, corpora, evaluation procedures, technical approaches, and results. The multilingual, multimedia research and evaluations are continuing in 2000 and 2001 under the DARPA TIDES program.