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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 21–30 of 156 papers

TitleStatusHype
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
A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural NetworkCode0
Combining Two And Three-Way Embeddings Models for Link Prediction in Knowledge BasesCode0
FALCON: Scalable Reasoning over Inconsistent ALC OntologiesCode0
Capacity and Bias of Learned Geometric Embeddings for Directed GraphsCode0
Attributed and Predictive Entity Embedding for Fine-Grained Entity Typing in Knowledge BasesCode0
Lattice-preserving ALC ontology embeddings with saturationCode0
BERTnesia: Investigating the capture and forgetting of knowledge in BERTCode0
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