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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… Expand
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Related topics

Related topics

38 relations
Apache OpenNLPBioinformaticsCoBoostingConditional random field
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Broader (1)

Computational linguistics

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
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… Expand
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Highly Cited
2016
Highly Cited
2016
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… Expand
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Highly Cited
2015
Highly Cited
2015
Analysis of named entity recognition and linking for tweets
Applying natural language processing for mining and intelligent information access to tweets (a form of microblog) is a… Expand
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Highly Cited
2012
Highly Cited
2012
TwiNER: named entity recognition in targeted twitter stream
Many private and/or public organizations have been reported to create and monitor targeted Twitter streams to collect and… Expand
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Highly Cited
2007
Highly Cited
2007
Exploiting Wikipedia as External Knowledge for Named Entity Recognition
We explore the use of Wikipedia as external knowledge to improve named entity recognition (NER). Our method retrieves the… Expand
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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… Expand
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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… Expand
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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… Expand
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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… Expand
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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… Expand
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