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Knowledge Base Completion
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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.
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Large Language Model-Enhanced Symbolic Reasoning for Knowledge Base Completion
Extracting triples from dialogues for conversational social agents
Knowledge Graphs: The Future of Data Integration and Insightful Discovery
DELE: Deductive $\mathcal{EL}^{++} \thinspace $ Embeddings for Knowledge Base Completion
Do LLMs Really Adapt to Domains? An Ontology Learning Perspective
Efficient Parallel Multi-Hop Reasoning: A Scalable Approach for Knowledge Graph Analysis
Pre-training and Diagnosing Knowledge Base Completion Models
Evaluating the Knowledge Base Completion Potential of GPT
Knowledge Base Completion for Long-Tail Entities
Predicting affinity ties in a surname network
Lattice-preserving $\mathcal{ALC}$ ontology embeddings with saturation
Evaluating Language Models for Knowledge Base Completion
Causal Lifting and Link Prediction
ZeroKBC: A Comprehensive Benchmark for Zero-Shot Knowledge Base Completion
Query-Driven Knowledge Base Completion using Multimodal Path Fusion over Multimodal Knowledge Graph
Knowledge Base Completion using Web-Based Question Answering and Multimodal Fusion
Instance-based Learning for Knowledge Base Completion
mOKB6: A Multilingual Open Knowledge Base Completion Benchmark
Robust and Efficient Imbalanced Positive-Unlabeled Learning with Self-supervision
FALCON: Scalable Reasoning over Inconsistent ALC Ontologies
Effective Few-Shot Named Entity Linking by Meta-Learning
HEAT: Hyperedge Attention Networks
KGBoost: A Classification-based Knowledge Base Completion Method with Negative Sampling
Time in a Box: Advancing Knowledge Graph Completion with Temporal Scopes
Scalable knowledge base completion with superposition memories
Relation Prediction as an Auxiliary Training Objective for Improving Multi-Relational Graph Representations
Combining Rules and Embeddings via Neuro-Symbolic AI for Knowledge Base Completion
Knowledge Base Completion Meets Transfer Learning
Scientific Language Models for Biomedical Knowledge Base Completion: An Empirical Study
BERTnesia: Investigating the capture and forgetting of knowledge in BERT
QuatDE: Dynamic Quaternion Embedding for Knowledge Graph Completion
CEAR: Cross-Entity Aware Reranker for Knowledge Base Completion
K-PLUG: Knowledge-injected Pre-trained Language Model for Natural Language Understanding and Generation in E-Commerce
DOCENT: Learning Self-Supervised Entity Representations from Large Document Collections
Ranking vs. Classifying: Measuring Knowledge Base Completion Quality
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