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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

Showing 4150 of 156 papers

TitleStatusHype
Why a Naive Way to Combine Symbolic and Latent Knowledge Base Completion Works Surprisingly Well0
BERTnesia: Investigating the capture and forgetting of knowledge in BERTCode0
QuatDE: Dynamic Quaternion Embedding for Knowledge Graph CompletionCode0
CEAR: Cross-Entity Aware Reranker for Knowledge Base Completion0
DOCENT: Learning Self-Supervised Entity Representations from Large Document Collections0
Ranking vs. Classifying: Measuring Knowledge Base Completion QualityCode0
Modelling General Properties of Nouns by Selectively Averaging Contextualised Embeddings0
IntKB: A Verifiable Interactive Framework for Knowledge Base CompletionCode0
Association Rules Enhanced Knowledge Graph Attention Network0
BERTnesia: Investigating the capture and forgetting of knowledge in BERTCode0
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