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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 41–50 of 156 papers

TitleStatusHype
Efficient and Expressive Knowledge Base Completion Using Subgraph Feature Extraction—0
Efficient Parallel Multi-Hop Reasoning: A Scalable Approach for Knowledge Graph Analysis—0
Embedding Cardinality Constraints in Neural Link Predictors—0
Commonsense Knowledge Base Completion—0
Commonsense Knowledge Base Completion and Generation—0
Incorporating Both Distributional and Relational Semantics in Word Representations—0
Augmenting Compositional Models for Knowledge Base Completion Using Gradient Representations—0
Feature-Rich Networks for Knowledge Base Completion—0
Compositional Approaches for Representing Relations Between Words: A Comparative Study—0
CEAR: Cross-Entity Aware Reranker for Knowledge Base Completion—0
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