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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
Interpretable and Compositional Relation Learning by Joint Training with an AutoencoderCode0
Learning Conceptual Space Representations of Interrelated Concepts—0
Revisiting the Task of Scoring Open IE Relations—0
Commonsense mining as knowledge base completion? A study on the impact of novelty—0
Towards a Continuous Knowledge Learning Engine for Chatbots—0
M-Walk: Learning to Walk over Graphs using Monte Carlo Tree Search—0
Generalized Graph Embedding Models—0
Combining Representation Learning with Logic for Language Processing—0
Context-aware Path Ranking for Knowledge Base Completion—0
A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural NetworkCode0
Revisiting Simple Neural Networks for Learning Representations of Knowledge GraphsCode0
KBGAN: Adversarial Learning for Knowledge Graph EmbeddingsCode0
Weakly-supervised Relation Extraction by Pattern-enhanced Embedding Learning—0
Fast Linear Model for Knowledge Graph EmbeddingsCode0
Why PairDiff works? -- A Mathematical Analysis of Bilinear Relational Compositional Operators for Analogy Detection—0
KBLRN : End-to-End Learning of Knowledge Base Representations with Latent, Relational, and Numerical FeaturesCode0
Compositional Approaches for Representing Relations Between Words: A Comparative Study—0
Corpus-level Fine-grained Entity Typing—0
Modeling Large-Scale Structured Relationships with Shared Memory for Knowledge Base Completion—0
NTNU-2 at SemEval-2017 Task 10: Identifying Synonym and Hyponym Relations among Keyphrases in Scientific Documents—0
Distributed Prediction of Relations for Entities: The Easy, The Difficult, and The Impossible—0
Feature-Rich Networks for Knowledge Base Completion—0
Knowledge Transfer for Out-of-Knowledge-Base Entities: A Graph Neural Network ApproachCode0
Joint Matrix-Tensor Factorization for Knowledge Base InferenceCode0
Knowledge Base Completion: Baselines Strike Back—0
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