Hierarchical Dirichlet Trees for Information Retrieval
We propose a 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. Additionally our generative model exhibits an effect similar to inverse document frequency. Experimentally, the resulting model produces improved retrieval results.