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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 71–80 of 156 papers

TitleStatusHype
NTNU-2 at SemEval-2017 Task 10: Identifying Synonym and Hyponym Relations among Keyphrases in Scientific Documents—0
Observed versus latent features for knowledge base and text inference—0
On Evaluating Embedding Models for Knowledge Base Completion—0
Populating Web Scale Knowledge Graphs using Distantly Supervised Relation Extraction and Validation—0
Predicting affinity ties in a surname network—0
Probabilistic Belief Embedding for Knowledge Base Completion—0
Projected Canonical Decomposition for Knowledge Base Completion—0
Query-Driven Knowledge Base Completion using Multimodal Path Fusion over Multimodal Knowledge Graph—0
Reasoning Over Paths via Knowledge Base Completion—0
Reasoning With Neural Tensor Networks for Knowledge Base Completion—0
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