Skip to search formSkip to main contentSkip to account menu

Named-entity recognition

Known as: Entity extraction, Named Entity Recognition, Recognition 
Named-entity recognition (NER) (also known as entity identification, entity chunking and entity extraction) is a subtask of information extraction… 
Wikipedia (opens in a new tab)

Related topics

Related topics

38 relations
Apache OpenNLPBioinformaticsCoBoostingConditional random field

Broader (1)

Computational linguistics

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2018
Review
2018
A Survey on Recent Advances in Named Entity Recognition from Deep Learning models
Named Entity Recognition (NER) is a key component in NLP systems for question answering, information retrieval, relation… 
Highly Cited
2016
Highly Cited
2016
Neural Architectures for Named Entity Recognition
Comunicacio presentada a la 2016 Conference of the North American Chapter of the Association for Computational Linguistics… 
Highly Cited
2015
Highly Cited
2015
Named Entity Recognition with Bidirectional LSTM-CNNs
Named entity recognition is a challenging task that has traditionally required large amounts of knowledge in the form of feature… 
Highly Cited
2004
Highly Cited
2004
Biomedical Named Entity Recognition using Conditional Random Fields and Rich Feature Sets
As the wealth of biomedical knowledge in the form of literature increases, there is a rising need for effective natural language… 
Review
2003
Review
2003
Introduction to the CoNLL-2003 Shared Task: Language-Independent Named Entity Recognition
We describe the CoNLL-2003 shared task: language-independent named entity recognition. We give background information on the data… 
Highly Cited
2003
Highly Cited
2003
Early results for Named Entity Recognition with Conditional Random Fields, Feature Induction and Web-Enhanced Lexicons
Models for many natural language tasks benefit from the flexibility to use overlapping, non-independent features. For example… 
Highly Cited
2003
Highly Cited
2003
Named Entity Recognition with a Maximum Entropy Approach
The named entity recognition (NER) task involves identifying noun phrases that are names, and assigning a class to each name… 
Review
2002
Review
2002
Introduction to the CoNLL-2002 Shared Task: Language-Independent Named Entity Recognition
We describe the CoNLL-2002 shared task: language-independent named entity recognition. We give background information on the data… 
Highly Cited
2002
Highly Cited
2002
Efficient Support Vector Classifiers for Named Entity Recognition
Named Entity (NE) recognition is a task in which proper nouns and numerical information are extracted from documents and are… 
Highly Cited
1999
Highly Cited
1999
A Maximum Entropy Approach to Named Entity Recognition
This thesis describes a novel statistical named-entity (i.e. “proper name”) recognition system known as “MENE” (Maximum Entropy… 
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy (opens in a new tab), Terms of Service (opens in a new tab), and Dataset License (opens in a new tab)