SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–100 of 151 papers

TitleStatusHype
End-to-End Neural Entity LinkingCode0
Enhancing Natural Language Representation with Large-Scale Out-of-Domain CommonsenseCode0
Entity Embeddings of Categorical VariablesCode0
Entity or Relation Embeddings? An Analysis of Encoding Strategies for Relation ExtractionCode0
Ered: Enhanced Text Representations with Entities and DescriptionsCode0
KRED: Knowledge-Aware Document Representation for News RecommendationsCode0
Gradient Flow of Energy: A General and Efficient Approach for Entity Alignment DecodingCode0
Incorporating Literals into Knowledge Graph EmbeddingsCode0
Inductive Link Prediction in Knowledge Graphs using Path-based Neural NetworksCode0
Inductive Logical Query Answering in Knowledge GraphsCode0
Informed Multi-context Entity AlignmentCode0
Jointly Learning Entity and Relation Representations for Entity AlignmentCode0
KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language RepresentationCode0
Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge GraphsCode0
Learning to Borrow -- Relation Representation for Without-Mention Entity-Pairs for Knowledge Graph CompletionCode0
Learning to Borrow– Relation Representation for Without-Mention Entity-Pairs for Knowledge Graph CompletionCode0
Merge and Label: A novel neural network architecture for nested NERCode0
Multi-relational Poincaré Graph EmbeddingsCode0
Named Entity Disambiguation for Noisy TextCode0
Table2Vec: Neural Word and Entity Embeddings for Table Population and RetrievalCode0
Relation Extraction with Contextualized Relation Embedding (CRE)Code0
SeDyT: A General Framework for Multi-Step Event Forecasting via Sequence Modeling on Dynamic Entity EmbeddingsCode0
SocialVec: Social Entity EmbeddingsCode0
TempCaps: A Capsule Network-based Embedding Model for Temporal Knowledge Graph CompletionCode0
Unlocking the Power of Large Language Models for Entity AlignmentCode0
Word Embeddings for Entity-annotated TextsCode0
Apprendre des repr\'esentations jointes de mots et d'entit\'es pour la d\'esambigu\" d'entit\'es (Combining Word and Entity Embeddings for Entity Linking)—0
A Neural Pipeline Approach for the PharmaCoNER Shared Task using Contextual Exhaustive Models—0
Supervised Typing of Big Graphs using Semantic Embeddings—0
DisenE: Disentangling Knowledge Graph Embeddings—0
Interpretable Entity Representations through Large-Scale Typing—0
Iteratively Learning Embeddings and Rules for Knowledge Graph Reasoning—0
JEL: Applying End-to-End Neural Entity Linking in JPMorgan Chase—0
WBI at MEDIQA 2021: Summarizing Consumer Health Questions with Generative Transformers—0
Jointly Learning Knowledge Embedding and Neighborhood Consensus with Relational Knowledge Distillation for Entity Alignment—0
KECRS: Towards Knowledge-Enriched Conversational Recommendation System—0
Medical Knowledge Graph QA for Drug-Drug Interaction Prediction based on Multi-hop Machine Reading Comprehension—0
Time-dependent Entity Embedding is not All You Need: A Re-evaluation of Temporal Knowledge Graph Completion Models under a Unified Framework—0
Knowledge Graph Embedding in E-commerce Applications: Attentive Reasoning, Explanations, and Transferable Rules—0
Knowledge-guided Convolutional Networks for Chemical-Disease Relation Extraction—0
Knowledge Representation with Conceptual Spaces—0
KQGC: Knowledge Graph Embedding with Smoothing Effects of Graph Convolutions for Recommendation—0
Learning Relational Representations by Analogy using Hierarchical Siamese Networks—0
Learning Relation-Specific Representations for Few-shot Knowledge Graph Completion—0
Learning to Borrow– Relation Representation for Without-Mention Entity-Pairs for Knowledge Graph Completion—0
TorusE: Knowledge Graph Embedding on a Lie Group—0
TransAlign: Fully Automatic and Effective Entity Alignment for Knowledge Graphs—0
Leveraging Lexical Resources for Learning Entity Embeddings in Multi-Relational Data—0
Leveraging Prior Knowledge for Protein-Protein Interaction Extraction with Memory Network—0
LLM-Align: Utilizing Large Language Models for Entity Alignment in Knowledge Graphs—0
Show:102550
← PrevPage 2 of 4Next →

No leaderboard results yet.