Titlebook: Topic Detection and Tracking; Event-based Informat James Allan Book 2002 Springer Science+Business Media New York 2002 cognition.informatio

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Multi-strategy Learning for Topic Detection and Tracking,when compared to using any single method. We examined our approaches with multi-lingual corpora, including stories in English, Mandarin and Spanish, and multi-media corpora consisting of newswire texts and the results of automated speech recognition for broadcast news sources. The methods worked reasonably well under all of the above conditions.

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Signal Boosting for Translingual Topic Tracking,e ported to other languages fairly easily, while outperforming state-of-the-art general-purpose machine translation. By contrast, neither of the noise reduction strategies produced significant improvements.

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Explorations Within Topic Tracking and Detection,tory detection system based on a tracking approach is unlikely to be sufficiently accurate for most purposes. Finally, we present an overview of an automatic timeline generation system that we developed using TDT data.

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The Information Retrieval Serieshttp://image.papertrans.cn/u/image/926044.jpg

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