Searching for "Two-Poisson model." – sorted by Relevance.
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Is it the language model in language modeling
- … distribution is assumed, the two-Poisson model [6, 7] being, perhaps, the best known. Treatment of term…
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Outline 1. Review 2. Mixture of Poissons (2 Poisson) model 3. BM25/Okapi method 4. Relevance
- … in the documents. Discuss the results in light of the two-Poisson model we discussed in class. c) Recall from…
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Poisson Mixtures
- … Poisson mixture. Pr 2P (x) = a p(x , q 1 ) + (1 -a) p(x , q 2 ) The Two-Poisson model is used…
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Discriminative Models for Information Retrieval
- …, the Two-Poisson model and the current state-of-the-art language models. We will now examine these models…
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Incremental hierarchical clustering of text documents
- … words) [13]. 3.1.2 Two Poisson Model There have been attempts to characterize the occurrence of a word…
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Optimum Probability Estimation from Empirical Distributions
- … features. – The within-document-frequency of terms is the basis of the two-Poisson model ( [Harter 75a…
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N-gram distribution based language model adaptation. ICSLP2000
- …, but not for content words. Several improvements over Poisson have been proposed. These include two-Poisson Model [10…
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Distribution-Based Pruning of Backoff Language Models
- … words. Several improvements over Poisson have been proposed. These include two-Poisson Model (Harter…
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Models for truncated counts
- … regression model are a poor third (-3378.13) and fourth (-3396-69), respectively. The two Poisson models fit…
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Naive (Bayes) at Forty: The Independence Assumption in Information Retrieval
- … formula which rescales the BIM weight to in some ways approximate the behavior of a two-Poisson model has…
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