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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 141150 of 156 papers

TitleStatusHype
DELE: Deductive EL^++ Embeddings for Knowledge Base CompletionCode0
Knowledge Base Completion for Long-Tail EntitiesCode0
Cross-lingual Knowledge Projection Using Machine Translation and Target-side Knowledge Base CompletionCode0
A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural NetworkCode0
Traversing Knowledge Graphs in Vector SpaceCode0
Regex Queries over Incomplete Knowledge BasesCode0
A Comparative Study of Distributional and Symbolic Paradigms for Relational LearningCode0
Revisiting Simple Neural Networks for Learning Representations of Knowledge GraphsCode0
OxKBC: Outcome Explanation for Factorization Based Knowledge Base CompletionCode0
Knowledge-Guided Linguistic Rewrites for Inference Rule VerificationCode0
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