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Named-entity recognition
Known as:
Entity extraction
, Named Entity Recognition
, Recognition
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Named-entity recognition (NER) (also known as entity identification, entity chunking and entity extraction) is a subtask of information extraction…
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Related topics
Related topics
38 relations
Apache OpenNLP
Bioinformatics
CoBoosting
Conditional 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
Guillaume Lample
,
Miguel Ballesteros
,
Sandeep Subramanian
,
Kazuya Kawakami
,
Chris Dyer
NAACL
2016
Corpus ID: 6042994
Comunicacio presentada a la 2016 Conference of the North American Chapter of the Association for Computational Linguistics…
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Highly Cited
2016
Highly Cited
2016
Named Entity Recognition with Bidirectional LSTM-CNNs
Jason P. C. Chiu
,
Eric Nichols
TACL
2016
Corpus ID: 6300165
Named entity recognition is a challenging task that has traditionally required large amounts of knowledge in the form of feature…
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Highly Cited
2012
Highly Cited
2012
TwiNER: named entity recognition in targeted twitter stream
Chenliang Li
,
J. Weng
,
+4 authors
Bu-Sung Lee
SIGIR '12
2012
Corpus ID: 15809395
Many private and/or public organizations have been reported to create and monitor targeted Twitter streams to collect and…
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Highly Cited
2007
Highly Cited
2007
Exploiting Wikipedia as External Knowledge for Named Entity Recognition
Jun'ichi Kazama
,
Kentaro Torisawa
EMNLP
2007
Corpus ID: 14343843
We explore the use of Wikipedia as external knowledge to improve named entity recognition (NER). Our method retrieves the…
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Highly Cited
2004
Highly Cited
2004
Biomedical Named Entity Recognition using Conditional Random Fields and Rich Feature Sets
Burr Settles
NLPBA/BioNLP
2004
Corpus ID: 9483510
As the wealth of biomedical knowledge in the form of literature increases, there is a rising need for effective natural language…
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Review
2003
Review
2003
Introduction to the CoNLL-2003 Shared Task: Language-Independent Named Entity Recognition
E. T. K. Sang
,
F. D. Meulder
CoNLL
2003
Corpus ID: 2470716
We describe the CoNLL-2003 shared task: language-independent named entity recognition. We give background information on the data…
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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
A. McCallum
,
Wei Li
CoNLL
2003
Corpus ID: 11664683
Models for many natural language tasks benefit from the flexibility to use overlapping, non-independent features. For example…
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Review
2002
Review
2002
Introduction to the CoNLL-2002 Shared Task: Language-Independent Named Entity Recognition
E. T. K. Sang
CoNLL
2002
Corpus ID: 3262157
We describe the CoNLL-2002 shared task: language-independent named entity recognition. We give background information on the data…
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Highly Cited
2002
Highly Cited
2002
Efficient Support Vector Classifiers for Named Entity Recognition
Hideki Isozaki
,
H. Kazawa
COLING
2002
Corpus ID: 2753152
Named Entity (NE) recognition is a task in which proper nouns and numerical information are extracted from documents and are…
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Highly Cited
1999
Highly Cited
1999
A Maximum Entropy Approach to Named Entity Recognition
R. Grishman
,
Andrew Borthwick
1999
Corpus ID: 60779558
This thesis describes a novel statistical named-entity (i.e. “proper name”) recognition system known as “MENE” (Maximum Entropy…
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