The Beta-Binomial Mixture Model and Its Application to TDT Tracking and Detection
نویسنده
چکیده
This paper describes a continuous-mixture statistical model for word occurrence frequencies in documents, and the application of that model to the TDT topic identification tasks. This model was originally proposed by Gillick [1] as a means to account for variation in word frequencies across documents more accurately than the binomial and multinomial models. Further mathematical development of the model will be presented, along with performance results on the DARPA TDT December 1998 Evaluation Tracking Task. Application to the Detection Task will also be discussed.
منابع مشابه
The beta-binomial mixture model for word frequencies in documents with applications to information retrieval
This paper describes a continuous-mixture statistical model for word occurrence frequencies in documents, and the application of that model to the DARPA-sponsored TDT topic identification tasks [1]. This model was originally proposed in 1990 by L. Gillick [2] as a means to account for variation in word frequencies across documents more accurately than the binomial model. The present paper prese...
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