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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 61–70 of 156 papers

TitleStatusHype
Temporal Knowledge Base Completion: New Algorithms and Evaluation ProtocolsCode0
IntKB: A Verifiable Interactive Framework for Knowledge Base CompletionCode0
KBLRN : End-to-End Learning of Knowledge Base Representations with Latent, Relational, and Numerical FeaturesCode0
Learning Attention-based Embeddings for Relation Prediction in Knowledge GraphsCode0
Cross-lingual Knowledge Projection Using Machine Translation and Target-side Knowledge Base CompletionCode0
Joint Matrix-Tensor Factorization for Knowledge Base InferenceCode0
A Comparative Study of Distributional and Symbolic Paradigms for Relational LearningCode0
Instance-based Learning for Knowledge Base CompletionCode0
Interpretable and Compositional Relation Learning by Joint Training with an AutoencoderCode0
Improving Neural Knowledge Base Completion with Cross-Lingual Projections—0
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