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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 1–50 of 156 papers

TitleStatusHype
Knowledge Base Completion for Constructing Problem-Oriented Medical RecordsCode1
Relation Prediction as an Auxiliary Training Objective for Improving Multi-Relational Graph RepresentationsCode1
Pre-training and Diagnosing Knowledge Base Completion ModelsCode1
Canonical Tensor Decomposition for Knowledge Base CompletionCode1
Explaining Neural Matrix Factorization with Gradient RollbackCode1
Lossless Compression of Structured Convolutional Models via LiftingCode1
Scientific Language Models for Biomedical Knowledge Base Completion: An Empirical StudyCode1
Tensor Decompositions for temporal knowledge base completionCode1
K-PLUG: KNOWLEDGE-INJECTED PRE-TRAINED LANGUAGE MODEL FOR NATURAL LANGUAGE UNDERSTANDING AND GENERATIONCode1
Knowledge Base Completion Meets Transfer LearningCode1
K-PLUG: Knowledge-injected Pre-trained Language Model for Natural Language Understanding and Generation in E-CommerceCode1
Modeling Relational Data with Graph Convolutional NetworksCode1
BoxE: A Box Embedding Model for Knowledge Base CompletionCode1
Knowledge Base Completion: Baselines Strike Back—0
Constructing large scale biomedical knowledge bases from scratch with rapid annotation of interpretable patterns—0
A Factorization Machine Framework for Testing Bigram Embeddings in Knowledgebase Completion—0
Compositional Learning of Relation Path Embedding for Knowledge Base Completion—0
Evaluating the Knowledge Base Completion Potential of GPT—0
A Survey on Graph Neural Networks for Knowledge Graph Completion—0
KGBoost: A Classification-based Knowledge Base Completion Method with Negative Sampling—0
Incorporating Both Distributional and Relational Semantics in Word Representations—0
Improving Neural Knowledge Base Completion with Cross-Lingual Projections—0
Incorporating Relational Knowledge into Word Representations using Subspace Regularization—0
Commonsense mining as knowledge base completion? A study on the impact of novelty—0
Association Rules Enhanced Knowledge Graph Attention Network—0
Compositional Vector Space Models for Knowledge Base Completion—0
HyperKG: Hyperbolic Knowledge Graph Embeddings for Knowledge Base Completion—0
Context-aware Path Ranking for Knowledge Base Completion—0
Continuous and Interactive Factual Knowledge Learning in Verification Dialogues—0
Corpus-level Fine-grained Entity Typing—0
Improved Knowledge Base Completion by Path-Augmented TransR Model—0
Incorporating Selectional Preferences in Multi-hop Relation Extraction—0
An Interpretable Knowledge Transfer Model for Knowledge Base Completion—0
Distributional Negative Sampling for Knowledge Base Completion—0
Distributed Prediction of Relations for Entities: The Easy, The Difficult, and The Impossible—0
Augmenting Compositional Models for Knowledge Base Completion Using Gradient Representations—0
DOCENT: Learning Self-Supervised Entity Representations from Large Document Collections—0
Combining Representation Learning with Logic for Language Processing—0
Combining Rules and Embeddings via Neuro-Symbolic AI for Knowledge Base Completion—0
HEAT: Hyperedge Attention Networks—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
Commonsense Knowledge Base Completion—0
Commonsense Knowledge Base Completion and Generation—0
Incorporating Both Distributional and Relational Semantics in Word Representations—0
Feature-Rich Networks for Knowledge Base Completion—0
CEAR: Cross-Entity Aware Reranker for Knowledge Base Completion—0
Compositional Approaches for Representing Relations Between Words: A Comparative Study—0
Data-dependent Learning of Symmetric/Antisymmetric Relations for Knowledge Base Completion—0
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