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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 26–50 of 156 papers

TitleStatusHype
Compositional Vector Space Models for Knowledge Base Completion—0
HyperKG: Hyperbolic Knowledge Graph Embeddings for Knowledge Base Completion—0
Context-aware Path Ranking for Knowledge Base Completion—0
Continuous and Interactive Factual Knowledge Learning in Verification Dialogues—0
Corpus-level Fine-grained Entity Typing—0
Improved Knowledge Base Completion by Path-Augmented TransR Model—0
Incorporating Selectional Preferences in Multi-hop Relation Extraction—0
An Interpretable Knowledge Transfer Model for Knowledge Base Completion—0
Distributional Negative Sampling for Knowledge Base Completion—0
Distributed Prediction of Relations for Entities: The Easy, The Difficult, and The Impossible—0
Augmenting Compositional Models for Knowledge Base Completion Using Gradient Representations—0
DOCENT: Learning Self-Supervised Entity Representations from Large Document Collections—0
Combining Representation Learning with Logic for Language Processing—0
Combining Rules and Embeddings via Neuro-Symbolic AI for Knowledge Base Completion—0
HEAT: Hyperedge Attention Networks—0
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
Feature-Rich Networks for Knowledge Base Completion—0
CEAR: Cross-Entity Aware Reranker for Knowledge Base Completion—0
Compositional Approaches for Representing Relations Between Words: A Comparative Study—0
Data-dependent Learning of Symmetric/Antisymmetric Relations for Knowledge Base Completion—0
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