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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 141–150 of 156 papers

TitleStatusHype
Knowledge-Guided Linguistic Rewrites for Inference Rule VerificationCode0
A Factorization Machine Framework for Testing Bigram Embeddings in Knowledgebase Completion—0
Representing Text for Joint Embedding of Text and Knowledge Bases—0
Efficient and Expressive Knowledge Base Completion Using Subgraph Feature Extraction—0
Observed versus latent features for knowledge base and text inference—0
Traversing Knowledge Graphs in Vector SpaceCode0
Combining Two And Three-Way Embeddings Models for Link Prediction in Knowledge BasesCode0
Towards Combined Matrix and Tensor Factorization for Universal Schema Relation Extraction—0
Modeling Relation Paths for Representation Learning of Knowledge BasesCode0
Probabilistic Belief Embedding for Knowledge Base Completion—0
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