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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 71–80 of 156 papers

TitleStatusHype
Text-Based Joint Prediction of Numeric and Categorical Attributes of Entities in Knowledge Bases—0
Reasoning Over Paths via Knowledge Base Completion—0
Reasoning With Neural Tensor Networks for Knowledge Base Completion—0
Recurrent One-Hop Predictions for Reasoning over Knowledge Graphs—0
Relation Induction in Word Embeddings Revisited—0
KGBoost: A Classification-based Knowledge Base Completion Method with Negative Sampling—0
Knowledge Base Completion: Baselines Strike Back—0
A Survey on Graph Neural Networks for Knowledge Graph Completion—0
Commonsense Knowledge Base Completion—0
Representing Text for Joint Embedding of Text and Knowledge Bases—0
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