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… (More)
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Apache OpenNLPBioinformaticsCoBoostingConditional random field
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Broader (1)

Computational linguistics

Papers overview

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Highly Cited
2016
Highly Cited
2016
Neural Architectures for Named Entity Recognition
State-of-the-art named entity recognition systems rely heavily on hand-crafted features and domain-specific knowledge in order to… (More)
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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… (More)
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Highly Cited
2011
Highly Cited
2011
Named Entity Recognition in Tweets: An Experimental Study
People tweet more than 100 Million times daily, yielding a noisy, informal, but sometimes informative corpus of 140-character… (More)
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2010
2010
Arabic Named Entity Recognition
This Ph.D. thesis describes the investigations we carried out in order to determine the appropriate approach to build an… (More)
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Highly Cited
2009
Highly Cited
2009
Design Challenges and Misconceptions in Named Entity Recognition
We analyze some of the fundamental design challenges and misconceptions that underlie the development of an efficient and robust… (More)
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2005
2005
Named Entity Recognition
Named entity recognition (NER) is a subtask of information extraction that seeks to locate and classify atomic elements in text… (More)
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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… (More)
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Highly Cited
2003
Highly Cited
2003
Named Entity Recognition with Character-Level Models
We discuss two named-entity recognition models which use characters and character -grams either exclusively or as an important… (More)
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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… (More)
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Highly Cited
2001
Highly Cited
2001
Named Entity Recognition from Diverse Text Types
Current research in Information Extraction tends to be focused on application-specific systems tailored to a particular domain… (More)
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