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The task of named entity recognition (NER) is normally divided into nested NER and flat NER depending on whether named entities are nested or not.
Glyce: Glyph-vectors for chinese character representations
Wei Wu, Yuxian Meng, Qinghong Han, Muyu Li, Xiaoya Li, Jie Mei, Ping Nie, Xiaofei Sun, and Jiwei Li. 2019 · 1901
Earlier work this paper cites.
Nested named entity recognition via second-best sequence learning and decoding
Takashi Shibuya and Eduard H. Hovy. 2019 · 1909
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Semi-supervised sequence modeling with cross-view training
Kevin Clark, Minh-Thang Luong, Christopher D. Manning, and Quoc V. Le. 2018 · 1925
Earlier work this paper cites.
Conditional random fields: Probabilistic models for segmenting and labeling sequence data
John Lafferty, Andrew McCallum, and Fernando CN Pereira. 2001 · 2001
Earlier work this paper cites.
The genia corpus: An annotated research abstract corpus in molecular biology domain
Tomoko Ohta, Yuka Tateisi, and Jin-Dong Kim. 2002 · 2002
Earlier work this paper cites.
Named entity recognition with long short-term memory
James Hammerton. 2003 · 2003
Earlier work this paper cites.
Genia corpus—a semantically annotated corpus for bio-textmining
J-D Kim, Tomoko Ohta, Yuka Tateisi, and Jun’ichi Tsujii. 2003 · 2003
Earlier work this paper cites.
Introduction to the conll-2003 shared task: Language-independent named entity recognition
Erik F. Tjong Kim Sang and Fien De Meulder. 2003 · 2003
Earlier work this paper cites.
Ace 2005 multilingual training corpus
Julie Medero Christopher Walker, Stephanie Strassel and Kazuaki Maeda. 2006 · 2005
Earlier work this paper cites.
The automatic content extraction (ace) program-tasks, data, and evaluation
George R Doddington, Alexis Mitchell, Mark A Przybocki, Stephanie M Strassel Lance A Ramshaw, and Ralph M Weischedel. 2005 · 2005
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The third international Chinese language processing bakeoff: Word segmentation and named entity recognition
Gina-Anne Levow. 2006 · 2006
Earlier work this paper cites.
Recognising nested named entities in biomedical text
Beatrice Alex, Barry Haddow, and Claire Grover. 2007 · 2007
Earlier work this paper cites.
Nested named entity recognition in historical archive text
Kate Byrne. 2007 · 2007
Earlier work this paper cites.
Dynamic conditional random fields: Factorized probabilistic models for labeling and segmenting sequence data
Charles Sutton, Andrew McCallum, and Khashayar Rohanimanesh. 2007 · 2007
Earlier work this paper cites.
Nested named entity recognition
Jenny Rose Finkel and Christopher D Manning. 2009 · 2009
Earlier work this paper cites.
Natural language processing (almost) from scratch
Ronan Collobert, Jason Weston, Léon Bottou, Michael Karlen, Koray Kavukcuoglu, and Pavel Kuksa. 2011 · 2011
Earlier work this paper cites.
Proceedings of the Fifteenth Conference on Computational Natural Language Learning: Shared Task, CoNLL 2011, Portland, Oregon, USA, June 23-24, 2011 . ACL
Sameer Pradhan, Mitchell P. Marcus, Martha Palmer, Lance A. Ramshaw, Ralph M. Weischedel, and Nianwen Xue, editors. 2011 · 2011
Earlier work this paper cites.
Towards robust linguistic analysis using OntoNotes
Sameer Pradhan, Alessandro Moschitti, Nianwen Xue, Hwee Tou Ng, Anders Björkelund, Olga Uryupina, Yuchen Zhang, and Zhi Zhong. 2013 · 2013
Earlier work this paper cites.
Named entity recognition with bidirectional lstm-cnns
Jason PC Chiu and Eric Nichols. 2015 · 2015
Earlier work this paper cites.
Bidirectional lstm-crf models for sequence tagging
Zhiheng Huang, Wei Xu, and Kai Yu. 2015 · 2015
Cited alongside, same era.
Joint mention extraction and classification with mention hypergraphs
Wei Lu and Dan Roth. 2015 · 2015
Cited alongside, same era.
Boosting named entity recognition with neural character embeddings
Cicero Nogueira dos Santos and Victor Guimaraes. 2015 · 2015
Cited alongside, same era.
Named entity recognition with bidirectional lstm-cnns
Jason PC Chiu and Eric Nichols. 2016 · 2016
Cited alongside, same era.
Neural architectures for named entity recognition
Guillaume Lample, Miguel Ballesteros, Sandeep Subramanian, Kazuya Kawakami, and Chris Dyer. 2016 · 2016
Cited alongside, same era.
A local detection approach for named entity recognition and mention detection
Mingbin Xu, Hui Jiang, and Sedtawut Watcharawittayakul. 2017 · 2017
Later among the works it cites.
Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 · 2018
Later among the works it cites.
A neural layered model for nested named entity recognition
Meizhi Ju, Makoto Miwa, and Sophia Ananiadou. 2018 · 2018
Later among the works it cites.
Nested named entity recognition revisited
Arzoo Katiyar and Claire Cardie. 2018 · 2018
Later among the works it cites.
The natural language decathlon: Multitask learning as question answering
Bryan McCann, Nitish Shirish Keskar, Caiming Xiong, and Richard Socher. 2018 · 2018
Later among the works it cites.
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End-to-end sequence labeling via bi-directional lstm-cnns-crf
Xuezhe Ma and Eduard Hovy. 2016 · 2016
Cited alongside, same era.
Squad: 100,000+ questions for machine comprehension of text
Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, and Percy Liang. 2016 · 2016
Cited alongside, same era.
Bidirectional attention flow for machine comprehension
Minjoon Seo, Aniruddha Kembhavi, Ali Farhadi, and Hannaneh Hajishirzi. 2016 · 2016
Cited alongside, same era.
Machine comprehension using match-lstm and answer pointer
Shuohang Wang and Jing Jiang. 2016 · 2016
Cited alongside, same era.
Multi-perspective context matching for machine comprehension
Zhiguo Wang, Haitao Mi, Wael Hamza, and Radu Florian. 2016 · 2016
Cited alongside, same era.
Dynamic coattention networks for question answering
Caiming Xiong, Victor Zhong, and Richard Socher. 2016 · 2016
Cited alongside, same era.
Reading wikipedia to answer open-domain questions
Danqi Chen, Adam Fisch, Jason Weston, and Antoine Bordes. 2017 · 2017
Cited alongside, same era.
Deep contextualized word representations
Matthew E. Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer. 2018b · 2018
Later among the works it cites.
Know what you don’t know: Unanswerable questions for squad
Pranav Rajpurkar, Robin Jia, and Percy Liang. 2018 · 2018
Later among the works it cites.
Deep exhaustive model for nested named entity recognition
Mohammad Golam Sohrab and Makoto Miwa. 2018 · 2018
Later among the works it cites.
Neural segmental hypergraphs for overlapping mention recognition
Bailin Wang and Wei Lu. 2018 · 2018
Later among the works it cites.
Qanet: Combining local convolution with global self-attention for reading comprehension
Adams Wei Yu, David Dohan, Minh-Thang Luong, Rui Zhao, Kai Chen, Mohammad Norouzi, and Quoc V. Le. 2018 · 2018
Later among the works it cites.
Chinese ner using lattice lstm
Yue Zhang and Jie Yang. 2018 · 2018
Later among the works it cites.
Merge and label: A novel neural network architecture for nested NER
Joseph Fisher and Andreas Vlachos. 2019 · 2019
Closest in time.
Entity-relation extraction as multi-turn question answering
Xiaoya Li, Fan Yin, Zijun Sun, Xiayu Li, Arianna Yuan, Duo Chai, Mingxin Zhou, and Jiwei Li. 2019 · 2019
Closest in time.
Sequence-to-nuggets: Nested entity mention detection via anchor-region networks
Hongyu Lin, Yaojie Lu, Xianpei Han, and Le Sun. 2019a · 2019
Closest in time.
Sequence-to-nuggets: Nested entity mention detection via anchor-region networks
Hongyu Lin, Yaojie Lu, Xianpei Han, and Le Sun. 2019b · 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
Closest in time.
Neural architectures for nested NER through linearization
Jana Straková, Milan Straka, and Jan Hajic. 2019 · 2019
Closest in time.
A boundary-aware neural model for nested named entity recognition
Changmeng Zheng, Yi Cai, Jingyun Xu, Ho-fung Leung, and Guandong Xu. 2019 · 2019
Closest in time.