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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 101–110 of 156 papers

TitleStatusHype
Recurrent One-Hop Predictions for Reasoning over Knowledge Graphs—0
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
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