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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 91100 of 156 papers

TitleStatusHype
Neural Relation Extraction via Inner-Sentence Noise Reduction and Transfer Learning0
Why does PairDiff work? - A Mathematical Analysis of Bilinear Relational Compositional Operators for Analogy Detection0
Attributed and Predictive Entity Embedding for Fine-Grained Entity Typing in Knowledge BasesCode0
Relation Induction in Word Embeddings Revisited0
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 Graphs0
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