articleJan 1, 2015GOLD OA

Representing Text for Joint Embedding of Text and Knowledge Bases

KTKristina ToutanovaDCDanqi ChenPPPatrick PantelHPHoifung PoonPCPallavi Choudhury

Microsoft (United States) · Stanford University

Indexed incrossref

Abstract

Models that learn to represent textual and knowledge base relations in the same continuous latent space are able to perform joint inferences among the two kinds of relations and obtain high accuracy on knowledge base completion

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Authors

6

Topics & keywords

Topics
Keywords
  • Computer science
  • Joint (building)
  • Embedding
  • Natural language processing
  • Artificial intelligence
  • Information retrieval
  • Engineering
UN Sustainable Development Goals
  • Quality Education
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