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Chinese word segmentation (CWS) is a fundamental step of Chinese natural language processing.
Translation as cross-domain knowledge: Attention augmentation for unsupervised cross-domain segmenting and labeling tasks
Ruixuan Luo, Yi Zhang, Sishuo Chen, and Xu Sun. 2021 · 1906
Earlier work this paper cites.
The viterbi algorithm
G. D. Forney. 1973 · 1973
Earlier work this paper cites.
Conditional random fields: Probabilistic models for segmenting and labeling sequence data
John Lafferty. 2001 · 2001
Earlier work this paper cites.
Chinese segmentation with a word-based perceptron algorithm
Yue Zhang and Stephen Clark. 2007 · 2007
Earlier work this paper cites.
Fast online training with frequency-adaptive learning rates for chinese word segmentation and new word detection
Xu Sun, Houfeng Wang, and Wenjie Li. 2012 · 2012
Cited alongside, same era.
Long short-term memory neural networks for chinese word segmentation
Xinchi Chen, Xipeng Qiu, Chenxi Zhu, Pengfei Liu, and Xuanjing Huang. 2015 · 2015
Cited alongside, same era.
Construction of multi-domain chinese dependency treebanks and analysis of influencing factors on dependency parsing
Houfeng Wang, Likun Qiu, and Linlin Shi. 2015 · 2015
Cited alongside, same era.
Neural word segmentation learning for chinese
Deng Cai and Hai Zhao. 2016 · 2016
Cited alongside, same era.
Exploring segment representations for neural segmentation models
Yijia Liu, Wanxiang Che, Jiang Guo, Bing Qin, and Ting Liu. 2016 · 2016
Later among the works it cites.
Overview of the nlpcc-iccpol 2016 shared task: Chinese word segmentation for micro-blog texts
Xipeng Qiu, Peng Qian, and Zhan Shi. 2016 · 2016
Later among the works it cites.
Dependency-based gated recursive neural network for chinese word segmentation
Jingjing Xu and Xu Sun. 2016 · 2016
Later among the works it cites.
Transfer learning for low-resource chinese word segmentation with a novel neural network
Jingjing Xu and Xu Sun. 2017 · 2017
Later among the works it cites.
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