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Entity Embeddings

Entity Embeddings is a technique for applying deep learning to tabular data. It involves representing the categorical data of an information systems entity with multiple dimensions.

Papers

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Showing 101–125 of 151 papers

TitleStatusHype
Relation Extraction with Contextualized Relation Embedding (CRE)Code0
DisenE: Disentangling Knowledge Graph Embeddings—0
Content-Based Personalized Recommender System Using Entity Embeddings—0
Entity Embedding as Game Representation—0
DensE: An Enhanced Non-commutative Representation for Knowledge Graph Embedding with Adaptive Semantic HierarchyCode0
Dual Graph Embedding for Object-Tag LinkPrediction on the Knowledge Graph—0
Neural Entity Linking: A Survey of Models Based on Deep Learning—0
Interpretable Entity Representations through Large-Scale Typing—0
Leveraging Prior Knowledge for Protein-Protein Interaction Extraction with Memory Network—0
Improving Entity Linking by Modeling Latent Entity Type Information—0
Knowledge-guided Convolutional Networks for Chemical-Disease Relation Extraction—0
Self-Attention Enhanced Selective Gate with Entity-Aware Embedding for Distantly Supervised Relation Extraction—0
CNN-based Dual-Chain Models for Knowledge Graph Learning—0
KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language RepresentationCode0
E-BERT: Efficient-Yet-Effective Entity Embeddings for BERTCode0
A Neural Pipeline Approach for the PharmaCoNER Shared Task using Contextual Exhaustive Models—0
KRED: Knowledge-Aware Document Representation for News RecommendationsCode0
Aligning Cross-Lingual Entities with Multi-Aspect InformationCode0
TransGCN:Coupling Transformation Assumptions with Graph Convolutional Networks for Link Prediction—0
Jointly Learning Entity and Relation Representations for Entity AlignmentCode0
A Deep Learning System for Predicting Size and Fit in Fashion E-CommerceCode0
Neural Relation Extraction for Knowledge Base Enrichment—0
Merge and Label: A novel neural network architecture for nested NERCode0
Knowledge Hypergraphs: Prediction Beyond Binary RelationsCode0
Learning Relational Representations by Analogy using Hierarchical Siamese Networks—0
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