Tdt-2004: Adaptive Topic Tracking at Maryland
نویسندگان
چکیده
A topic tracking system that combines elements from vector space and language modeling frameworks to compute document scores is described. The model is used for both the traditional TDT topic tracking evaluation design and the new supervised adaptive topic tracking evaluation. Results indicate that supervised adaptation and score normalization should be more closely coupled, and that current techniques for detection error tradeoff analysis may be of limited utility when supervised adaptation is performed.
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