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

@inproceedings{MovshovitzAttias2015KBLDAJL,
  title={KB-LDA: Jointly Learning a Knowledge Base of Hierarchy, Relations, and Facts},
  author={Dana Movshovitz-Attias and William W. Cohen},
  booktitle={ACL},
  year={2015}
}
  • Dana Movshovitz-Attias, William W. Cohen
  • Published in ACL 2015
  • Computer Science
  • 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 learns a latent ontological structure of an input corpus, and identifies facts from the corpus that match the learned structure. Our approach… CONTINUE READING
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    References

    SHOWING 1-10 OF 33 REFERENCES
    Yago: a core of semantic knowledge
    • 2,997
    • Highly Influential
    • PDF
    Reasoning With Neural Tensor Networks for Knowledge Base Completion
    • 1,220
    • PDF
    Acquiring temporal constraints between relations
    • 43
    • PDF
    Grounded Discovery of Coordinate Term Relationships between Software Entities
    • 2
    • PDF
    Block-LDA: Jointly Modeling Entity-Annotated Text and Entity-Entity Links
    • 107
    Semantic Taxonomy Induction from Heterogenous Evidence
    • 508
    • PDF
    Automatic Acquisition of Hyponyms from Large Text Corpora
    • 3,407
    • PDF
    Reading Tea Leaves: How Humans Interpret Topic Models
    • 1,224
    • PDF