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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 101–125 of 156 papers

TitleStatusHype
Mining Commonsense Facts from the Physical World—0
Mining Inference Formulas by Goal-Directed Random Walks—0
Modeling Large-Scale Structured Relationships with Shared Memory for Knowledge Base Completion—0
Towards Combined Matrix and Tensor Factorization for Universal Schema Relation Extraction—0
Augmenting Compositional Models for Knowledge Base Completion Using Gradient Representations—0
Why does PairDiff work? - A Mathematical Analysis of Bilinear Relational Compositional Operators for Analogy Detection—0
Modelling General Properties of Nouns by Selectively Averaging Contextualised Embeddings—0
Association Rules Enhanced Knowledge Graph Attention Network—0
M-Walk: Learning to Walk over Graphs using Monte Carlo Tree Search—0
Neighborhood Mixture Model for Knowledge Base Completion—0
Commonsense Knowledge Base Completion and Generation—0
Commonsense mining as knowledge base completion? A study on the impact of novelty—0
Compositional Approaches for Representing Relations Between Words: A Comparative Study—0
Compositional Learning of Relation Path Embedding for Knowledge Base Completion—0
Compositional Vector Space Models for Knowledge Base Completion—0
Constructing large scale biomedical knowledge bases from scratch with rapid annotation of interpretable patterns—0
Context-aware Path Ranking for Knowledge Base Completion—0
Continuous and Interactive Factual Knowledge Learning in Verification Dialogues—0
Corpus-level Fine-grained Entity Typing—0
Corpus-level Fine-grained Entity Typing Using Contextual Information—0
Semantically Enhanced Models for Commonsense Knowledge Acquisition—0
Data-dependent Learning of Symmetric/Antisymmetric Relations for Knowledge Base Completion—0
Neural Markov Logic Networks—0
Distributed Prediction of Relations for Entities: The Easy, The Difficult, and The Impossible—0
Distributional Negative Sampling for Knowledge Base Completion—0
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