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Recently, the character-word lattice structure has been proved to be effective for Chinese named entity recognition (NER) by incorporating the word information.
Transformer-xl: Attentive language models beyond a fixed-length context
Zihang Dai, Zhilin Yang, Yiming Yang, Jaime G. Carbonell, Quoc V. Le, and Ruslan Salakhutdinov. 2019 · 1901
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Pre-training with whole word masking for chinese BERT
Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Ziqing Yang, Shijin Wang, and Guoping Hu. 2019 · 1906
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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. 2001 · 2001
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The third international Chinese language processing bakeoff: Word segmentation and named entity recognition
Gina-Anne Levow. 2006 · 2006
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Ontonotes release 5.0
Ralph M Weischedel and Linguistic Data Consortium. 2013 · 2013
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Event extraction via dynamic multi-pooling convolutional neural networks
Yubo Chen, Liheng Xu, Kang Liu, Daojian Zeng, and Jun Zhao. 2015 · 2015
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Named entity recognition for Chinese social media with jointly trained embeddings
Nanyun Peng and Mark Dredze. 2015 · 2015
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F-score driven max margin neural network for named entity recognition in chinese social media
Hangfeng He and Xu Sun. 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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Empower sequence labeling with task-aware neural language model
Liyuan Liu, Jingbo Shang, Frank F. Xu, Xiang Ren, Huan Gui, Jian Peng, and Jiawei Han. 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
Cited alongside, same era.
Neural reranking for named entity recognition
Jie Yang, Yue Zhang, and Fei Dong. 2017 · 2017
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Core techniques of question answering systems over knowledge bases: a survey
Dennis Diefenbach, Vanessa Lopez, Kamal Singh, and Pierre Maret. 2018 · 2018
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Analogical reasoning on Chinese morphological and semantic relations
Shen Li, Zhe Zhao, Renfen Hu, Wensi Li, Tao Liu, and Xiaoyong Du. 2018 · 2018
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Self-attentional models for lattice inputs
Matthias Sperber, Graham Neubig, Ngoc-Quan Pham, and Alex Waibel. 2019 · 2019
Later among the works it cites.
Named entity recognition - is there a glass ceiling?
Tomasz Stanislawek, Anna Wróblewska, Alicja Wójcicka, Daniel Ziembicki, and Przemyslaw Biecek. 2019 · 2019
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Leverage lexical knowledge for Chinese named entity recognition via collaborative graph network
Dianbo Sui, Yubo Chen, Kang Liu, Jun Zhao, and Shengping Liu. 2019 · 2019
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Lattice-based transformer encoder for neural machine translation
Fengshun Xiao, Jiangtong Li, Hai Zhao, Rui Wang, and Kehai Chen. 2019 · 2019
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Tener: Adapting transformer encoder for named entity recognition
Hang Yan, Bocao Deng, Xiaonan Li, and Xipeng Qiu. 2019 · 2019
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Lattice transformer for speech translation
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Chinese NER using lattice LSTM
Yue Zhang and Jie Yang. 2018 · 2018
Cited alongside, same era.
A lexicon-based graph neural network for Chinese NER
Tao Gui, Yicheng Zou, Qi Zhang, Minlong Peng, Jinlan Fu, Zhongyu Wei, and Xuanjing Huang. 2019b · 2019
Cited alongside, same era.
Porous lattice-based transformer encoder for chinese ner
Xue Mengge, Yu Bowen, Liu Tingwen, Wang Bin, Meng Erli, and Li Quangang. 2019 · 2019
Cited alongside, same era.
Cnn-based chinese ner with lexicon rethinking
Tao Gui, Ruotian Ma, Qi Zhang, Lujun Zhao, Yu-Gang Jiang, and Xuanjing Huang. 2019a
Cited in the paper.
Pei Zhang, Niyu Ge, Boxing Chen, and Kai Fan. 2019 · 2019
Later among the works it cites.
Interpretability analysis for named entity recognition to understand system predictions and how they can improve
Oshin Agarwal, Yinfei Yang, Byron Wallace, and Ani Nenkova. 2020 · 2020
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Learning sparse sharing architectures for multiple tasks
Tianxiang Sun, Yunfan Shao, Xiaonan Li, Pengfei Liu, Hang Yan, Xipeng Qiu, and Xuanjing Huang. 2020 · 2020
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