KB-LDA: Jointly Learning a Knowledge Base of Hierarchy, Relations, and Facts


Many existing knowledge bases (KBs), including Freebase, Yago, and NELL, rely on a fixed ontology, given as an input to the system, which defines the data to be cataloged in the KB, i.e., a hierarchy of categories and relations between them. The system then extracts facts that match the predefined ontology. We propose an unsupervised model that jointly… (More)
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Citations per Year

Citation Velocity: 17

Averaging 17 citations per year over the last 3 years.

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