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Knowledge Base Completion

Knowledge base completion is the task which automatically infers missing facts by reasoning about the information already present in the knowledge base. A knowledge base is a collection of relational facts, often represented in the form of "subject", "relation", "object"-triples.

Papers

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Showing 151–156 of 156 papers

TitleStatusHype
Inferring Missing Entity Type Instances for Knowledge Base Completion: New Dataset and Methods—0
Compositional Vector Space Models for Knowledge Base Completion—0
Incorporating Both Distributional and Relational Semantics in Word Representations—0
Incorporating Both Distributional and Relational Semantics in Word Representations—0
Learning Multi-Relational Semantics Using Neural-Embedding Models—0
Reasoning With Neural Tensor Networks for Knowledge Base Completion—0
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