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- W2029563826 abstract "We propose a principled probabilisitc framework which uses trees over the vocabulary to capture similarities among terms in an information retrieval setting. This allows the retrieval of documents based not just on occurrences of specific query terms, but also on similarities between terms (an effect similar to query expansion). Additionally our principled generative model exhibits an effect similar to inverse document frequency. We give encouraging experimental evidence of the superiority of the hierarchical Dirichlet tree compared to standard baselines." @default.
- W2029563826 created "2016-06-24" @default.
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- W2029563826 date "2009-01-01" @default.
- W2029563826 modified "2023-10-03" @default.
- W2029563826 title "Hierarchical dirichlet trees for information retrieval" @default.
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- W2029563826 doi "https://doi.org/10.3115/1620754.1620780" @default.
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