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In the field of Natural Language Processing (NLP), Named Entity Recognition (NER) is recognized as a critical technology, employed across a wide array of applications.
The importance of annotated corpora for nlp: the cases of anaphora resolution and clause splitting
Ruslan Mitkov, Constantin Orasan, and Richard J. Evans · 2000
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Improving machine translation quality with automatic named entity recognition
Bogdan Babych and Anthony F. Hartley · 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
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Unsupervised named-entity extraction from the web: An experimental study
Oren Etzioni, Michael J. Cafarella, Doug Downey, Ana-Maria Popescu, Tal Shaked, Stephen Soderland, Daniel S. Weld, and Alexander Yates · 2005
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Named entity recognition for question answering
Diego Mollá Aliod, Menno van Zaanen, and Daniel Smith · 2006
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Named entity recognition in Wikipedia
Dominic Balasuriya, Nicky Ringland, Joel Nothman, Tara Murphy, and James R. Curran · 2009
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Named entity recognition in query
Jiafeng Guo, Gu Xu, Xueqi Cheng, and Hang Li · 2009
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Amazon mechanical turk: Gold mine or coal mine?
Karën Fort, Gilles Adda, and Kevin Bretonnel Cohen · 2011
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OntoNotes Release 5.0, 2013
Ralph Weischedel, Martha Palmer, Mitchell Marcus, Eduard Hovy, Sameer Pradhan, Lance Ramshaw, Nianwen Xue, Ann Taylor, Jeff Kaufman, Michelle Franchini, Mohammed El-Bachouti, Robert Belvin, and Ann Houston · 2013
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Named entity recognition
Behrang Mohit · 2014
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Nested named entity recognition revisited
Arzoo Katiyar and Claire Cardie · 2018
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mixup: Beyond empirical risk minimization
Hongyi Zhang, Moustapha Cisse, Yann N. Dauphin, and David Lopez-Paz · 2018
Cited alongside, same era.
Attending to entities for better text understanding
Pengxiang Cheng and Katrin Erk · 2019
Cited alongside, same era.
BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2019
Cited alongside, same era.
Language models are few-shot learners, 2020
Tom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel M. Ziegler, Jeffrey Wu, Clemens Winter, Christopher Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei · 2020
Training language models to follow instructions with human feedback, 2022
Long Ouyang, Jeff Wu, Xu Jiang, Diogo Almeida, Carroll L. Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, John Schulman, Jacob Hilton, Fraser Kelton, Luke Miller, Maddie Simens, Amanda Askell, Peter Welinder, Paul Christiano, Jan Leike, and Ryan Lowe · 2022
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Xiao Wang, Shihan Dou, Limao Xiong, Yicheng Zou, Qi Zhang, Tao Gui, Liang Qiao, Zhanzhan Cheng, and Xuanjing Huang · 2022
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De-bias for generative extraction in unified ner task
Shuai Zhang, Yongliang Shen, Zeqi Tan, Yiquan Wu, and Weiming Lu · 2022
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Is GPT-3 a good data annotator?
Bosheng Ding, Chengwei Qin, Linlin Liu, Yew Ken Chia, Boyang Li, Shafiq Joty, and Lidong Bing · 2023
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Aclm: A selective-denoising based generative data augmentation approach for low-resource complex ner
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Cited alongside, same era.
A survey on deep learning for named entity recognition
Jing Li, Aixin Sun, Jianglei Han, and Chenliang Li · 2020
Cited alongside, same era.
Assessing demographic bias in named entity recognition
Shubhanshu Mishra, Sijun He, and Luca Belli · 2020
Cited alongside, same era.
Noisy-labeled ner with confidence estimation
Kun Liu, Yao Fu, Chuanqi Tan, Mosha Chen, Ningyu Zhang, Songfang Huang, and Sheng Gao · 2021
Cited alongside, same era.
Ridong Han, Tao Peng, Chaohao Yang, Benyou Wang, Lu Liu, and Xiang Wan
Cited in the paper.
Is information extraction solved by chatgpt? an analysis of performance, evaluation criteria, robustness and errors, 2023b
Ridong Han, Tao Peng, Chaohao Yang, Benyou Wang, Lu Liu, and Xiang Wan
Cited in the paper.
Diffusionner: Boundary diffusion for named entity recognition
Yongliang Shen, Kaitao Song, Xu Tan, Dongsheng Li, Weiming Lu, and Yueting Zhuang
Cited in the paper.
Sreyan Ghosh, Utkarsh Tyagi, Manan Suri, Sonal Kumar, S Ramaneswaran, and Dinesh Manocha · 2023
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Recent advances in natural language processing via large pre-trained language models: A survey
Bonan Min, Hayley Ross, Elior Sulem, Amir Pouran Ben Veyseh, Thien Huu Nguyen, Oscar Sainz, Eneko Agirre, Ilana Heintz, and Dan Roth · 2023
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Gpt-ner: Named entity recognition via large language models
Shuhe Wang, Xiaofei Sun, Xiaoya Li, Rongbin Ouyang, Fei Wu, Tianwei Zhang, Jiwei Li, and Guoyin Wang · 2023
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A survey of large language models
Wayne Xin Zhao, Kun Zhou, Junyi Li, Tianyi Tang, Xiaolei Wang, Yupeng Hou, Yingqian Min, Beichen Zhang, Junjie Zhang, Zican Dong, et al · 2023
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