Benchmarks
Datasets
Greatest papers with code
Entity Embeddings of Categorical Variables
• entron/entity-embedding-rossmann
• 
As entity embedding defines a distance measure for categorical variables it can be used for visualizing categorical data and for data clustering.
Scalable Zero-shot Entity Linking with Dense Entity Retrieval
EMNLP 2020
• facebookresearch/BLINK
• 
This paper introduces a conceptually simple, scalable, and highly effective BERT-based entity linking model, along with an extensive evaluation of its accuracy-speed trade-off.
DeepType: Multilingual Entity Linking by Neural Type System Evolution
The wealth of structured (e. g. Wikidata) and unstructured data about the world available today presents an incredible opportunity for tomorrow's Artificial Intelligence.
Ranked #1 on
Entity Disambiguation
on TAC2010
ENTITY DISAMBIGUATION ENTITY EMBEDDINGS ENTITY LINKING STOCHASTIC OPTIMIZATION
Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs
The occurrence of a fact (edge) is modeled as a multivariate point process whose intensity function is modulated by the score for that fact computed based on the learned entity embeddings.
End-to-End Neural Entity Linking
Entity Linking (EL) is an essential task for semantic text understanding and information extraction.
Ranked #1 on
Entity Linking
on N3-Reuters-128
Multi-relational Poincaré Graph Embeddings
NeurIPS 2019
• ibalazevic/multirelational-poincare
•
Hyperbolic embeddings have recently gained attention in machine learning due to their ability to represent hierarchical data more accurately and succinctly than their Euclidean analogues.
Ranked #12 on
Link Prediction
on WN18RR
RDF2Vec: RDF Graph Embeddings and Their Applications
Linked Open Data has been recognized as a valuable source for background information in many data mining and information retrieval tasks.
Ranked #1 on
Node Classification
on BGS
ENTITY EMBEDDINGS INFORMATION RETRIEVAL KNOWLEDGE GRAPH EMBEDDING KNOWLEDGE GRAPH EMBEDDINGS KNOWLEDGE GRAPHS LANGUAGE MODELLING NODE CLASSIFICATION RECOMMENDATION SYSTEMS
DAWT: Densely Annotated Wikipedia Texts across multiple languages
In addition to the main dataset, we open up several derived datasets including mention entity co-occurrence counts and entity embeddings, as well as mappings between Freebase ids and Wikidata item ids.
Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network
ACL 2019
• syxu828/Crosslingula-KG-Matching
•
Previous cross-lingual knowledge graph (KG) alignment studies rely on entity embeddings derived only from monolingual KG structural information, which may fail at matching entities that have different facts in two KGs.
Named Entity Disambiguation for Noisy Text
CONLL 2017
• yotam-happy/NEDforNoisyText
•
We address the task of Named Entity Disambiguation (NED) for noisy text.