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Named-entity recognition (NER) aims at identifying entities of interest in a text.
Gate: a general architecture for text engineering
Hamish Cunningham, Yorick Wilks, and Robert J Gaizauskas. 1996 · 1996
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Nymble: a high-performance learning name-finder
Daniel M Bikel, Scott Miller, Richard Schwartz, and Ralph Weischedel. 1997 · 1997
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Nyu: Description of the mene named entity system as used in muc-7
Andrew Borthwick, John Sterling, Eugene Agichtein, and Ralph Grishman. 1998 · 1998
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Nyu: Description of the japanese ne system used for met-2
Satoshi Sekine et al. 1998 · 1998
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Japanese named entity extraction with redundant morphological analysis
Masayuki Asahara and Yuji Matsumoto. 2003 · 2003
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Multilingual adaptations of annie, a reusable information extraction tool
Diana Maynard and Hamish Cunningham. 2003 · 2003
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Early results for named entity recognition with conditional random fields, feature induction and web-enhanced lexicons
Andrew McCallum and Wei Li. 2003 · 2003
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Introduction to the conll-2003 shared task: Language-independent named entity recognition
Erik F Tjong Kim Sang and Fien De Meulder. 2003 · 2003
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Gapscore: finding gene and protein names one word at a time
Jeffrey T Chang, Hinrich Schütze, and Russ B Altman. 2004 · 2004
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Incorporating non-local information into information extraction systems by gibbs sampling
Jenny Rose Finkel, Trond Grenager, and Christopher Manning. 2005 · 2005
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ABNER: An open source tool for automatically tagging genes, proteins, and other entity names in text
Burr Settles. 2005 · 2005
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Named entity recognition in Hindi using MEMM
N Kumar and Pushpak Bhattacharyya. 2006 · 2006
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Nerbio: using selected word conjunctions, term normalization, and global patterns to improve biomedical named entity recognition
Richard Tzong-Han Tsai, Cheng-Lung Sung, Hong-Jie Dai, Hsieh-Chuan Hung, Ting-Yi Sung, and Wen-Lian Hsu. 2006 · 2006
Cited alongside, same era.
A survey of named entity recognition and classification
David Nadeau and Satoshi Sekine. 2007 · 2007
Cited alongside, same era.
Arabic named entity recognition using conditional random fields
Yassine Benajiba and Paolo Rosso. 2008 · 2008
Cited alongside, same era.
Banner: an executable survey of advances in biomedical named entity recognition
Robert Leaman, Graciela Gonzalez, et al. 2008 · 2008
Cited alongside, same era.
The mitre identification scrubber toolkit: design, training, and assessment
John Aberdeen, Samuel Bayer, Reyyan Yeniterzi, Ben Wellner, Cheryl Clark, David Hanauer, Bradley Malin, and Lynette Hirschman. 2010 · 2010
Cited alongside, same era.
Brat: a web-based tool for nlp-assisted text annotation
Pontus Stenetorp, Sampo Pyysalo, Goran Topić, Tomoko Ohta, Sophia Ananiadou, and Jun’ichi Tsujii. 2012 · 2012
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Mantime: Temporal expression identification and normalization in the tempeval-3 challenge
Michele Filannino, Gavin Brown, and Goran Nenadic. 2013 · 2013
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Lexicon infused phrase embeddings for named entity resolution
Alexandre Passos, Vineet Kumar, and Andrew McCallum. 2014 · 2014
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GloVe: global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher D Manning. 2014 · 2014
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Automated systems for the de-identification of longitudinal clinical narratives: Overview of 2014 i2b2/uthealth shared task track 1
Amber Stubbs, Christopher Kotfila, and Özlem Uzuner. 2015 · 2014
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HC Cho, N Okazaki, M Miwa, and J Tsujii. 2010 · 2010
Cited alongside, same era.
Annotating named entities in twitter data with crowdsourcing
Tim Finin, Will Murnane, Anand Karandikar, Nicholas Keller, Justin Martineau, and Mark Dredze. 2010 · 2010
Cited alongside, same era.
Mayo clinical text analysis and knowledge extraction system (ctakes): architecture, component evaluation and applications
Guergana K Savova, James J Masanz, Philip V Ogren, Jiaping Zheng, Sunghwan Sohn, Karin C Kipper-Schuler, and Christopher G Chute. 2010 · 2010
Cited alongside, same era.
Amazon’s mechanical turk a new source of inexpensive, yet high-quality, data?
Michael Buhrmester, Tracy Kwang, and Samuel D Gosling. 2011 · 2011
Cited alongside, same era.
Natural language processing (almost) from scratch
Ronan Collobert, Jason Weston, Léon Bottou, Michael Karlen, Koray Kavukcuoglu, and Pavel Kuksa. 2011 · 2011
Cited alongside, same era.
Scikit-learn: Machine learning in python
Fabian Pedregosa, Gaël Varoquaux, Alexandre Gramfort, Vincent Michel, Bertrand Thirion, Olivier Grisel, Mathieu Blondel, Peter Prettenhofer, Ron Weiss, Vincent Dubourg, et al. 2011 · 2011
Cited alongside, same era.
Efficient estimation of word representations in vector space
Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. 2013a
Cited in the paper.
Cliner: A lightweight tool for clinical named entity recognition
William Boag, Kevin Wacome, Tristan Naumann, and Anna Rumshisky. 2015 · 2015
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Non-lexical neural architecture for fine-grained POS tagging
Matthieu Labeau, Kevin Löser, and Alexandre Allauzen. 2015 · 2015
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Tensorflow: Large-scale machine learning on heterogeneous distributed systems
Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, et al. 2016 · 2016
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De-identification of patient notes with recurrent neural networks
Franck Dernoncourt, Ji Young Lee, Ozlem Uzuner, and Peter Szolovits. 2016 · 2016
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Neural architectures for named entity recognition
Guillaume Lample, Miguel Ballesteros, Sandeep Subramanian, Kazuya Kawakami, and Chris Dyer. 2016 · 2016
Later among the works it cites.
Feature-augmented neural networks for patient note de-identification
Ji Young Lee, Franck Dernoncourt, Ozlem Uzuner, and Peter Szolovits. 2016 · 2016
Later among the works it cites.