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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 11–20 of 156 papers

Title	Date	Tasks	Status	Hype	Score
BoxE: A Box Embedding Model for Knowledge Base Completion	Jul 13, 2020	Knowledge Base CompletionKnowledge Graphs	CodeCode Available	1	5
Canonical Tensor Decomposition for Knowledge Base Completion	Jun 19, 2018	Dynamic Link PredictionKnowledge Base Completion	CodeCode Available	1	5
K-PLUG: Knowledge-injected Pre-trained Language Model for Natural Language Understanding and Generation in E-Commerce	Apr 14, 2021	DecoderKnowledge Base Completion	CodeCode Available	1	5
Lattice-preserving ALC ontology embeddings with saturation	May 11, 2023	DescriptiveKnowledge Base Completion	CodeCode Available	0	5
Attributed and Predictive Entity Embedding for Fine-Grained Entity Typing in Knowledge Bases	Aug 1, 2018	Entity LinkingEntity Typing	CodeCode Available	0	5
Evaluating Language Models for Knowledge Base Completion	Mar 20, 2023	Knowledge Base Completion	CodeCode Available	0	5
A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network	Dec 6, 2017	Knowledge Base CompletionLink Prediction	CodeCode Available	0	5
BERTnesia: Investigating the capture and forgetting of knowledge in BERT	Jun 5, 2021	Knowledge Base CompletionLanguage Modeling	CodeCode Available	0	5
BERTnesia: Investigating the capture and forgetting of knowledge in BERT	Oct 19, 2020	Knowledge Base CompletionNER	CodeCode Available	0	5
Effective Few-Shot Named Entity Linking by Meta-Learning	Jul 12, 2022	Entity LinkingKnowledge Base Completion	CodeCode Available	0	5

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