Entity Linking
State-of-the-art leaderboards
| Trend | Dataset | Best Method | Paper title | Paper | Code | Compare |
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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 NAMED ENTITY RECOGNITION (NER) 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.
MAG: A Multilingual, Knowledge-base Agnostic and Deterministic Entity Linking Approach
Currently, the best performing approaches rely on trained mono-lingual models.
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.
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.
Learning Distributed Representations of Texts and Entities from Knowledge Base
Given a text in the KB, we train our proposed model to predict entities that are relevant to the text.
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.