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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 Meets Transfer LearningCode1
Pre-training and Diagnosing Knowledge Base Completion ModelsCode1
Tensor Decompositions for temporal knowledge base completionCode1
Lossless Compression of Structured Convolutional Models via LiftingCode1
Knowledge Base Completion for Constructing Problem-Oriented Medical RecordsCode1
K-PLUG: KNOWLEDGE-INJECTED PRE-TRAINED LANGUAGE MODEL FOR NATURAL LANGUAGE UNDERSTANDING AND GENERATIONCode1
Modeling Relational Data with Graph Convolutional NetworksCode1
Scientific Language Models for Biomedical Knowledge Base Completion: An Empirical StudyCode1
BoxE: A Box Embedding Model for Knowledge Base CompletionCode1
Explaining Neural Matrix Factorization with Gradient RollbackCode1
Canonical Tensor Decomposition for Knowledge Base CompletionCode1
K-PLUG: Knowledge-injected Pre-trained Language Model for Natural Language Understanding and Generation in E-CommerceCode1
Lattice-preserving ALC ontology embeddings with saturationCode0
Capacity and Bias of Learned Geometric Embeddings for Directed GraphsCode0
Attributed and Predictive Entity Embedding for Fine-Grained Entity Typing in Knowledge BasesCode0
Fact Discovery from Knowledge Base via Facet DecompositionCode0
FALCON: Scalable Reasoning over Inconsistent ALC OntologiesCode0
Fast Linear Model for Knowledge Graph EmbeddingsCode0
End-to-end Structure-Aware Convolutional Networks for Knowledge Base CompletionCode0
BERTnesia: Investigating the capture and forgetting of knowledge in BERTCode0
Evaluating Language Models for Knowledge Base CompletionCode0
Combining Two And Three-Way Embeddings Models for Link Prediction in Knowledge BasesCode0
A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural NetworkCode0
BERTnesia: Investigating the capture and forgetting of knowledge in BERTCode0
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