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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 51–100 of 156 papers

TitleStatusHype
Knowledge Base Completion: Baselines Strike Back—0
Knowledge Base Completion using Web-Based Question Answering and Multimodal Fusion—0
Knowledge Base Completion via Coupled Path Ranking—0
Knowledge Graph Embedding via Graph Attenuated Attention Networks—0
Knowledge Graph Embedding with Hierarchical Relation Structure—0
Knowledge Graphs: The Future of Data Integration and Insightful Discovery—0
Large Language Model-Enhanced Symbolic Reasoning for Knowledge Base Completion—0
Learning Conceptual Space Representations of Interrelated Concepts—0
Learning Multi-Relational Semantics Using Neural-Embedding Models—0
Learning Relation Representations from Word Representations—0
Link Prediction using Embedded Knowledge Graphs—0
Meta Reasoning over Knowledge Graphs—0
Mining Commonsense Facts from the Physical World—0
Mining Inference Formulas by Goal-Directed Random Walks—0
Modeling Large-Scale Structured Relationships with Shared Memory for Knowledge Base Completion—0
Modelling General Properties of Nouns by Selectively Averaging Contextualised Embeddings—0
M-Walk: Learning to Walk over Graphs using Monte Carlo Tree Search—0
Neighborhood Mixture Model for Knowledge Base Completion—0
Neural Markov Logic Networks—0
Neural Relation Extraction via Inner-Sentence Noise Reduction and Transfer Learning—0
NTNU-2 at SemEval-2017 Task 10: Identifying Synonym and Hyponym Relations among Keyphrases in Scientific Documents—0
Observed versus latent features for knowledge base and text inference—0
On Evaluating Embedding Models for Knowledge Base Completion—0
Populating Web Scale Knowledge Graphs using Distantly Supervised Relation Extraction and Validation—0
Predicting affinity ties in a surname network—0
Probabilistic Belief Embedding for Knowledge Base Completion—0
Projected Canonical Decomposition for Knowledge Base Completion—0
Query-Driven Knowledge Base Completion using Multimodal Path Fusion over Multimodal Knowledge Graph—0
Reasoning Over Paths via Knowledge Base Completion—0
Reasoning With Neural Tensor Networks for Knowledge Base Completion—0
Recurrent One-Hop Predictions for Reasoning over Knowledge Graphs—0
Relation Induction in Word Embeddings Revisited—0
Representing Text for Joint Embedding of Text and Knowledge Bases—0
Revisiting Evaluation of Knowledge Base Completion Models—0
Revisiting the Task of Scoring Open IE Relations—0
Riemannian TransE: Multi-relational Graph Embedding in Non-Euclidean Space—0
Semantically Enhanced Models for Commonsense Knowledge Acquisition—0
Text-Based Joint Prediction of Numeric and Categorical Attributes of Entities in Knowledge Bases—0
Towards a Continuous Knowledge Learning Engine for Chatbots—0
Towards Combined Matrix and Tensor Factorization for Universal Schema Relation Extraction—0
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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