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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 76–100 of 156 papers

TitleStatusHype
Fact Discovery from Knowledge Base via Facet DecompositionCode0
Augmentic Compositional Models for Knowledge Base Completion Using Gradient Representations—0
Embedding Cardinality Constraints in Neural Link Predictors—0
Learning Relation Representations from Word Representations—0
Combining Axiom Injection and Knowledge Base Completion for Efficient Natural Language InferenceCode0
Learning from positive and unlabeled data: a surveyCode0
End-to-end Structure-Aware Convolutional Networks for Knowledge Base CompletionCode0
Augmenting Compositional Models for Knowledge Base Completion Using Gradient Representations—0
On Evaluating Embedding Models for Knowledge Base Completion—0
Modeling relation paths for knowledge base completion via joint adversarial trainingCode0
Commonsense Knowledge Base Completion and Generation—0
Knowledge Graph Embedding with Hierarchical Relation Structure—0
Semantically Enhanced Models for Commonsense Knowledge Acquisition—0
Embedding Multimodal Relational Data for Knowledge Base CompletionCode0
Data-dependent Learning of Symmetric/Antisymmetric Relations for Knowledge Base Completion—0
Neural Relation Extraction via Inner-Sentence Noise Reduction and Transfer Learning—0
Why does PairDiff work? - A Mathematical Analysis of Bilinear Relational Compositional Operators for Analogy Detection—0
Attributed and Predictive Entity Embedding for Fine-Grained Entity Typing in Knowledge BasesCode0
Relation Induction in Word Embeddings Revisited—0
Cross-lingual Knowledge Projection Using Machine Translation and Target-side Knowledge Base CompletionCode0
Type-Sensitive Knowledge Base Inference Without Explicit Type SupervisionCode0
A Comparative Study of Distributional and Symbolic Paradigms for Relational LearningCode0
Interpreting Embedding Models of Knowledge Bases: A Pedagogical ApproachCode0
Canonical Tensor Decomposition for Knowledge Base CompletionCode1
Recurrent One-Hop Predictions for Reasoning over Knowledge Graphs—0
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