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Named Entity Recognition (NER) is a fundamental task in Natural Language Processing, concerned with identifying spans of text expressing references to entities.
Semi-supervised sequence modeling with cross-view training
Kevin Clark, Minh-Thang Luong, Christopher D. Manning, and Quoc Le. 2018 · 1925
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Introduction to the CoNLL-2002 shared task: Language-independent named entity recognition
Erik F. Tjong Kim Sang. 2002 · 2002
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GENIA corpus—a semantically annotated corpus for bio-textmining
J.-D. Kim, T. Ohta, Y. Tateisi, and J. Tsujii. 2003 · 2003
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Effective adaptation of a Hidden Markov Model-based Named Entity Recognizer for the biomedical domain
Dan Shen, Jie Zhang, Guodong Zhou, Jian Su, and Chew-Lim Tan. 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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A boundary-aware neural model for nested named entity recognition
Changmeng Zheng, Yi Cai, Jingyun Xu, Ho-fung Leung, and Guandong Xu. 2019 · 2005
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Recognising nested named entities in biomedical text
Barry Haddow Beatrice Alex and Claire Grover. 2007 · 2007
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Nested named entity recognition
Jenny Rose Finkel and Christopher D. Manning. 2009 · 2009
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Natural language processing (almost) from scratch
Ronan Collobert, Jason Weston, Léon Bottou, Michael Karlen, Koray Kavukcuoglu, and Pavel Kuksa. 2011 · 2011
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CoNLL-2012 shared task: Modeling multilingual unrestricted coreference in OntoNotes
Sameer Pradhan, Alessandro Moschitti, Nianwen Xue, Olga Uryupina, and Yuchen Zhang. 2012 · 2012
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Joint mention extraction and classification with mention hypergraphs
Wei Lu and Dan Roth. 2015 · 2015
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Enriching word vectors with subword information
Piotr Bojanowski, Edouard Grave, Armand Joulin, and Tomas Mikolov. 2016 · 2016
Cited alongside, same era.
Named entity recognition with bidirectional lstm-cnns
Jason PC Chiu and Eric Nichols. 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
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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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Deep biaffine attention for neural dependency parsing
Timothy Dozat and Christopher Manning. 2017 · 2017
Cited alongside, same era.
Labeling gaps between words: Recognizing overlapping mentions with mention separators
Deep exhaustive model for nested named entity recognition
Mohammad Golam Sohrab and Makoto Miwa. 2018 · 2018
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Neural segmental hypergraphs for overlapping mention recognition
Bailin Wang and Wei Lu. 2018 · 2018
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A neural transition-based model for nested mention recognition
Bailin Wang, Wei Lu, Yu Wang, and Hongxia Jin. 2018 · 2018
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Pooled contextualized embeddings for named entity recognition
Alan Akbik, Tanja Bergmann, and Roland Vollgraf. 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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Merge and label: A novel neural network architecture for nested NER
Joseph Fisher and Andreas Vlachos. 2019 · 2019
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Aldrian Obaja Muis and Wei Lu. 2017 · 2017
Cited alongside, same era.
Fast and accurate entity recognition with iterated dilated convolutions
Emma Strubell, Patrick Verga, David Belanger, and Andrew McCallum. 2017 · 2017
Cited alongside, same era.
Contextual string embeddings for sequence labeling
Alan Akbik, Duncan Blythe, and Roland Vollgraf. 2018 · 2018
Cited alongside, same era.
A neural layered model for nested named entity recognition
Meizhi Ju, Makoto Miwa, and Sophia Ananiadou. 2018 · 2018
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Nested named entity recognition revisited
Arzoo Katiyar and Claire Cardie. 2018 · 2018
Cited alongside, same era.
Deep contextualized word representations
Matthew E. Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke S. Zettlemoyer. 2018 · 2018
Cited alongside, same era.
Later among the works it cites.
Coreference resolution with entity equalization
Ben Kantor and Amir Globerson. 2019 · 2019
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Sequence-to-nuggets: Nested entity mention detection via anchor-region networks
Hongyu Lin, Yaojie Lu, Xianpei Han, and Le Sun. 2019 · 2019
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A general framework for information extraction using dynamic span graphs
Yi Luan, Dave Wadden, Luheng He, Amy Shah, Mari Ostendorf, and Hannaneh Hajishirzi. 2019 · 2019
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Neural architectures for nested NER through linearization
Jana Straková, Milan Straka, and Jan Hajic. 2019 · 2019
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