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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 91–100 of 156 papers

TitleStatusHype
Weakly-supervised Relation Extraction by Pattern-enhanced Embedding Learning—0
Why a Naive Way to Combine Symbolic and Latent Knowledge Base Completion Works Surprisingly Well—0
Why does PairDiff work? - A Mathematical Analysis of Bilinear Relational Compositional Operators for Analogy Detection—0
Why PairDiff works? -- A Mathematical Analysis of Bilinear Relational Compositional Operators for Analogy Detection—0
Efficient and Expressive Knowledge Base Completion Using Subgraph Feature Extraction—0
Efficient Parallel Multi-Hop Reasoning: A Scalable Approach for Knowledge Graph Analysis—0
Embedding Cardinality Constraints in Neural Link Predictors—0
Evaluating the Knowledge Base Completion Potential of GPT—0
Exploiting Structured Knowledge in Text via Graph-Guided Representation Learning—0
Extracting triples from dialogues for conversational social agents—0
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