SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 61–70 of 156 papers

TitleStatusHype
Improved Knowledge Base Completion by Path-Augmented TransR Model—0
Improving Neural Knowledge Base Completion with Cross-Lingual Projections—0
Incorporating Selectional Preferences in Multi-hop Relation Extraction—0
Incorporating Relational Knowledge into Word Representations using Subspace Regularization—0
Causal Lifting and Link Prediction—0
Incorporating Both Distributional and Relational Semantics in Word Representations—0
Incorporating Both Distributional and Relational Semantics in Word Representations—0
Data-dependent Learning of Symmetric/Antisymmetric Relations for Knowledge Base Completion—0
CEAR: Cross-Entity Aware Reranker for Knowledge Base Completion—0
Corpus-level Fine-grained Entity Typing Using Contextual Information—0
Show:102550
← PrevPage 7 of 16Next →

No leaderboard results yet.