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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 1–25 of 156 papers

TitleStatusHype
Relation Prediction as an Auxiliary Training Objective for Improving Multi-Relational Graph RepresentationsCode1
Knowledge Base Completion for Constructing Problem-Oriented Medical RecordsCode1
Modeling Relational Data with Graph Convolutional NetworksCode1
Tensor Decompositions for temporal knowledge base completionCode1
K-PLUG: Knowledge-injected Pre-trained Language Model for Natural Language Understanding and Generation in E-CommerceCode1
Explaining Neural Matrix Factorization with Gradient RollbackCode1
Knowledge Base Completion Meets Transfer LearningCode1
Lossless Compression of Structured Convolutional Models via LiftingCode1
Scientific Language Models for Biomedical Knowledge Base Completion: An Empirical StudyCode1
BoxE: A Box Embedding Model for Knowledge Base CompletionCode1
Pre-training and Diagnosing Knowledge Base Completion ModelsCode1
Canonical Tensor Decomposition for Knowledge Base CompletionCode1
K-PLUG: KNOWLEDGE-INJECTED PRE-TRAINED LANGUAGE MODEL FOR NATURAL LANGUAGE UNDERSTANDING AND GENERATIONCode1
Corpus-level Fine-grained Entity Typing—0
A Factorization Machine Framework for Testing Bigram Embeddings in Knowledgebase Completion—0
Corpus-level Fine-grained Entity Typing Using Contextual Information—0
Commonsense mining as knowledge base completion? A study on the impact of novelty—0
A Survey on Graph Neural Networks for Knowledge Graph Completion—0
Data-dependent Learning of Symmetric/Antisymmetric Relations for Knowledge Base Completion—0
Commonsense Knowledge Base Completion and Generation—0
Commonsense Knowledge Base Completion—0
Constructing large scale biomedical knowledge bases from scratch with rapid annotation of interpretable patterns—0
Association Rules Enhanced Knowledge Graph Attention Network—0
Compositional Approaches for Representing Relations Between Words: A Comparative Study—0
Combining Rules and Embeddings via Neuro-Symbolic AI for Knowledge Base Completion—0
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