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Named Entity Recognition (NER) is one of the first stages in deep language understanding yet current NER models heavily rely on human-annotated data.
Unsupervised data augmentation
Qizhe Xie, Zihang Dai, Eduard H. Hovy, Minh-Thang Luong, and Quoc V. Le. 2019 · 1904
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Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber. 1997 · 1997
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Conditional random fields: Probabilistic models for segmenting and labeling sequence data
John D. Lafferty, Andrew McCallum, and Fernando C. N. Pereira. 2001b · 2001
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Named entity recognition using an HMM-based chunk tagger
GuoDong Zhou and Jian Su. 2002 · 2002
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Named entity recognition with long short-term memory
James Hammerton. 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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Dynamic conditional random fields: factorized probabilistic models for labeling and segmenting sequence data
Charles A. Sutton, Khashayar Rohanimanesh, and Andrew McCallum. 2004 · 2004
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Margin semi-supervised learning for structured variables
Yasemin Altun, David A. McAllester, and Mikhail Belkin. 2005 · 2005
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A survey of named entity recognition and classification
David Nadeau and Satoshi Sekine. 2007 · 2007
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Generalized expectation criteria for semi-supervised learning with weakly labeled data
Gideon S. Mann and Andrew McCallum. 2010 · 2010
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Natural language processing (almost) from scratch
Ronan Collobert, Jason Weston, Léon Bottou, Michael Karlen, Koray Kavukcuoglu, and Pavel P. Kuksa. 2011 · 2011
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Semi-supervised condensed nearest neighbor for part-of-speech tagging
Anders Søgaard. 2011 · 2011
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GermEval 2014 Named Entity Recognition Shared Task: Companion Paper
Darina Benikova, Chris Biemann, Max Kisselew, and Sebastian Padó. 2014 · 2014
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Neural architectures for named entity recognition
Guillaume Lample, Miguel Ballesteros, Sandeep Subramanian, Kazuya Kawakami, and Chris Dyer. 2016a · 2016
Cited alongside, same era.
Neural architectures for named entity recognition
Guillaume Lample, Miguel Ballesteros, Sandeep Subramanian, Kazuya Kawakami, and Chris Dyer. 2016b · 2016
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End-to-end sequence labeling via bi-directional LSTM-CNNs-CRF
Xuezhe Ma and Eduard Hovy. 2016 · 2016
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Semi-supervised structured prediction with neural CRF autoencoder
Xiao Zhang, Yong Jiang, Hao Peng, Kewei Tu, and Dan Goldwasser. 2017 · 2017
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Contextual string embeddings for sequence labeling
Alan Akbik, Duncan Blythe, and Roland Vollgraf. 2018 · 2018
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Variational sequential labelers for semi-supervised learning
Mingda Chen, Qingming Tang, Karen Livescu, and Kevin Gimpel. 2018 · 2018
Robustness to capitalization errors in named entity recognition
Sravan Bodapati, Hyokun Yun, and Yaser Al-Onaizan. 2019 · 2019
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BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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Submodular optimization-based diverse paraphrasing and its effectiveness in data augmentation
Ashutosh Kumar, Satwik Bhattamishra, Manik Bhandari, and Partha Talukdar. 2019 · 2019
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Exploration of noise strategies in semi-supervised named entity classification
Pooja Lakshmi Narayan, Ajay Nagesh, and Mihai Surdeanu. 2019 · 2019
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Knowledge-augmented language model and its application to unsupervised named-entity recognition
Angli Liu, Jingfei Du, and Veselin Stoyanov. 2019 · 2019
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Sosuke Kobayashi. 2018 · 2018
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Matthew Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer. 2018a · 2018
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Deep contextualized word representations
Matthew Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer. 2018b · 2018
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Cutmix: Regularization strategy to train strong classifiers with localizable features
Sangdoo Yun, Dongyoon Han, Sanghyuk Chun, Seong Joon Oh, Youngjoon Yoo, and Junsuk Choe. 2019 · 2019
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Advaug: Robust data augmentation for neural machine translation
Yong Cheng, Lu Jiang, Wolfgang Macherey, and Jacob Eisenstein. 2020 · 2020
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A unified mrc framework for named entity recognition
Xiaoya Li, Jingrong Feng, Yuxian Meng, Qinghong Han, Fei Wu, and Jiwei Li. 2020 · 2020
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Triggerner: Learning with entity triggers as explanations for named entity recognition
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