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There is a recent interest in investigating few-shot NER, where the low-resource target domain has different label sets compared with a resource-rich source domain.
Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber. 1997 · 1997
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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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Visualizing high-dimensional data using t-sne
Laurens van der Maaten and Geoffrey E. Hinton. 2008 · 2008
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Asgard: A portable architecture for multilingual dialogue systems
J. Liu, P. Pasupat, S. Cyphers, and J. Glass. 2013 · 2013
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Named entity recognition with bidirectional LSTM-CNNs
Jason P.C. Chiu and Eric Nichols. 2016 · 2016
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Multi-domain joint semantic frame parsing using bi-directional rnn-lstm
Dilek Hakkani-Tur, Gokhan Tur, Asli Celikyilmaz, Yun-Nung Chen, Jianfeng Gao, Li Deng, and Ye-Yi Wang. 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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Fast and accurate entity recognition with iterated dilated convolutions
Emma Strubell, Patrick Verga, David Belanger, and Andrew McCallum. 2017 · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Ł ukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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A local detection approach for named entity recognition and mention detection
Mingbin Xu, Hui Jiang, and Sedtawut Watcharawittayakul. 2017 · 2017
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Design challenges and misconceptions in neural sequence labeling
Jie Yang, Shuailong Liang, and Yue Zhang. 2018 · 2018
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Learning tag dependencies for sequence tagging
Yuan Zhang, Hongshen Chen, Yihong Zhao, Qun Liu, and Dawei Yin. 2018 · 2018
Cited alongside, same era.
Pooled contextualized embeddings for named entity recognition
Alan Akbik, Tanja Bergmann, and Roland Vollgraf. 2019 · 2019
Cited alongside, same era.
Hierarchically-refined label attention network for sequence labeling
Leyang Cui and Yue Zhang. 2019 · 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 · 2019
Cited alongside, same era.
Sequence-to-nuggets: Nested entity mention detection via anchor-region networks
Hongyu Lin, Yaojie Lu, Xianpei Han, and Le Sun. 2019 · 2019
Cited alongside, same era.
GCDT: A global context enhanced deep transition architecture for sequence labeling
Making pre-trained language models better few-shot learners
Tianyu Gao, Adam Fisch, and Danqi Chen. 2020 · 2020
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Uncertainty-aware label refinement for sequence labeling
Tao Gui, Jiacheng Ye, Qi Zhang, Zhengyan Li, Zichu Fei, Yeyun Gong, and Xuanjing Huang. 2020 · 2020
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Few-shot named entity recognition: A comprehensive study
Jiaxin Huang, Chunyuan Li, Krishan Subudhi, Damien Jose, Shobana Balakrishnan, Weizhu Chen, Baolin Peng, Jianfeng Gao, and Jiawei Han. 2020 · 2020
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BART: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension
Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Veselin Stoyanov, and Luke Zettlemoyer. 2020 · 2020
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A continuous learning method for recognizing named entities by integrating domain contextual relevance measurement and web farming mode of web intelligence
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Yijin Liu, Fandong Meng, Jinchao Zhang, Jinan Xu, Yufeng Chen, and Jie Zhou. 2019 · 2019
Cited alongside, same era.
Language models as knowledge bases?
Fabio Petroni, Tim Rocktäschel, Sebastian Riedel, Patrick Lewis, Anton Bakhtin, Yuxiang Wu, and Alexander Miller. 2019 · 2019
Cited alongside, same era.
Named entity recognition - is there a glass ceiling?
Tomasz Stanislawek, Anna Wróblewska, Alicja Wójcicka, Daniel Ziembicki, and Przemyslaw Biecek. 2019 · 2019
Cited alongside, same era.
Utilizing BERT for aspect-based sentiment analysis via constructing auxiliary sentence
Chi Sun, Luyao Huang, and Xipeng Qiu. 2019 · 2019
Cited alongside, same era.
Label-agnostic sequence labeling by copying nearest neighbors
Sam Wiseman and Karl Stratos. 2019 · 2019
Cited alongside, same era.
Language models are few-shot learners
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 · 2020
Cited alongside, same era.
Shaofu Lin, Jiangfan Gao, Shun Zhang, Xiaobo He, Ying Sheng, and Jianhui Chen. 2020 · 2020
Later among the works it cites.
Hierarchical contextualized representation for named entity recognition
Ying Luo, Fengshun Xiao, and Hai Zhao. 2020 · 2020
Later among the works it cites.
Automatically identifying words that can serve as labels for few-shot text classification
Timo Schick, Helmut Schmid, and Hinrich Schütze. 2020 · 2020
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Exploiting cloze questions for few shot text classification and natural language inference
Timo Schick and Hinrich Schütze. 2020 · 2020
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LUKE: Deep contextualized entity representations with entity-aware self-attention
Ikuya Yamada, Akari Asai, Hiroyuki Shindo, Hideaki Takeda, and Yuji Matsumoto. 2020 · 2020
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Simple and effective few-shot named entity recognition with structured nearest neighbor learning
Yi Yang and Arzoo Katiyar. 2020 · 2020
Later among the works it cites.
Example-based named entity recognition
Morteza Ziyadi, Yuting Sun, Abhishek Goswami, Jade Huang, and Weizhu Chen. 2020 · 2020
Later among the works it cites.