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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

Showing 110 of 156 papers

TitleStatusHype
K-PLUG: KNOWLEDGE-INJECTED PRE-TRAINED LANGUAGE MODEL FOR NATURAL LANGUAGE UNDERSTANDING AND GENERATIONCode1
Modeling Relational Data with Graph Convolutional NetworksCode1
Knowledge Base Completion for Constructing Problem-Oriented Medical RecordsCode1
Knowledge Base Completion Meets Transfer LearningCode1
K-PLUG: Knowledge-injected Pre-trained Language Model for Natural Language Understanding and Generation in E-CommerceCode1
Lossless Compression of Structured Convolutional Models via LiftingCode1
BoxE: A Box Embedding Model for Knowledge Base CompletionCode1
Explaining Neural Matrix Factorization with Gradient RollbackCode1
Canonical Tensor Decomposition for Knowledge Base CompletionCode1
Pre-training and Diagnosing Knowledge Base Completion ModelsCode1
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