Entity Linking
State-of-the-art leaderboards
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Greatest papers with code
Named Entity Recognition with Bidirectional LSTM-CNNs
TACL 2016
• zalandoresearch/flair
• 
Named entity recognition is a challenging task that has traditionally required large amounts of knowledge in the form of feature engineering and lexicons to achieve high performance.
ENTITY LINKING FEATURE ENGINEERING NAMED ENTITY RECOGNITION WORD EMBEDDINGS
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.
Joint Learning of the Embedding of Words and Entities for Named Entity Disambiguation
CONLL 2016 • wikipedia2vec/wikipedia2vec
The KB graph model learns the relatedness of entities using the link structure of the KB, whereas the anchor context model aims to align vectors such that similar words and entities occur close to one another in the vector space by leveraging KB anchors and their context words.
SOTA for Entity Disambiguation on TAC2010
Entity Disambiguation with Web Links
Entity disambiguation with Wikipedia relies on structured information from redirect pages, article text, inter-article links, and categories.
ENTITY DISAMBIGUATION ENTITY LINKING KNOWLEDGE BASE POPULATION
A Tidy Data Model for Natural Language Processing using cleanNLP
The package cleanNLP provides a set of fast tools for converting a textual corpus into a set of normalized tables.
COREFERENCE RESOLUTION DEPENDENCY PARSING ENTITY LINKING NAMED ENTITY RECOGNITION PART-OF-SPEECH TAGGING SENTIMENT ANALYSIS TOKENIZATION
End-to-End Neural Entity Linking
CONLL 2018 • dalab/end2end_neural_el
Entity Linking (EL) is an essential task for semantic text understanding and information extraction.
MAG: A Multilingual, Knowledge-base Agnostic and Deterministic Entity Linking Approach
Currently, the best performing approaches rely on trained mono-lingual models.
MedMentions: A Large Biomedical Corpus Annotated with UMLS Concepts
This paper presents the formal release of MedMentions, a new manually annotated resource for the recognition of biomedical concepts.
Improving Entity Linking by Modeling Latent Relations between Mentions
ACL 2018
• lephong/mulrel-nel
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Entity linking involves aligning textual mentions of named entities to their corresponding entries in a knowledge base.
Open-World Knowledge Graph Completion
• bxshi/ConMask
• 
Knowledge Graphs (KGs) have been applied to many tasks including Web search, link prediction, recommendation, natural language processing, and entity linking.