SOTAVerified

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 21–30 of 156 papers

TitleStatusHype
Commonsense Knowledge Base Completion and Generation—0
Commonsense Knowledge Base Completion—0
Data-dependent Learning of Symmetric/Antisymmetric Relations for Knowledge Base Completion—0
Compositional Approaches for Representing Relations Between Words: A Comparative Study—0
Association Rules Enhanced Knowledge Graph Attention Network—0
Compositional Vector Space Models for Knowledge Base Completion—0
Constructing large scale biomedical knowledge bases from scratch with rapid annotation of interpretable patterns—0
Context-aware Path Ranking for Knowledge Base Completion—0
Continuous and Interactive Factual Knowledge Learning in Verification Dialogues—0
Combining Rules and Embeddings via Neuro-Symbolic AI for Knowledge Base Completion—0
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