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- 1040 creator eric-xing.
- 1040 creator jacob-eisenstein.
- 1040 creator qirong-ho.
- 1040 type InProceedings.
- 1040 label "Document Hierarchies from Text and Links".
- 1040 sameAs 1040.
- 1040 abstract "Hierarchical taxonomies provide a multi-level view of large document collections, allowing users to rapidly drill down to fine-grained distinctions in topics of interest. We show automatically induced taxonomies can be made more robust by combining of text with relational links. The underlying mechanism is a Bayesian generative model in which a latent hierarchical structure explains the observed data --- thus, finding hierarchical groups of documents with similar word distributions and dense network connections. As a nonparametric Bayesian model, our approach does not require pre-specification of the branching factor at each non-terminal, but finds the appropriate level of detail directly from the data. Unlike many prior generative models of network structure, the complexity of our approach does not grow quadratically in the number of documents, enabling application to networks with more than ten thousand nodes. Experimental results on hypertext and citation network corpora demonstrate the advantages of our hierarchical, multimodal approach.".
- 1040 hasAuthorList authorList.
- 1040 isPartOf proceedings.
- 1040 keyword "Bayesian models".
- 1040 keyword "block models".
- 1040 keyword "hierarchical clustering".
- 1040 keyword "topic models".
- 1040 title "Document Hierarchies from Text and Links".