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Neural models with minimal feature engineering have achieved competitive performance against traditional methods for the task of Chinese word segmentation.
Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber. 1997 · 1997
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Conditional random fields: Probabilistic models for segmenting and labeling sequence data
John Lafferty, Andrew McCallum, and Fernando CN Pereira. 2001 · 2001
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A neural probabilistic language model
Yoshua Bengio, Réjean Ducharme, Pascal Vincent, and Christian Janvin. 2003 · 2003
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Chinese word segmentation as character tagging
Nianwen Xue. 2003 · 2003
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Incremental parsing with the perceptron algorithm
Michael Collins and Brian Roark. 2004 · 2004
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Chinese segmentation and new word detection using conditional random fields
Fuchun Peng, Fangfang Feng, and Andrew McCallum. 2004 · 2004
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Learning as search optimization: Approximate large margin methods for structured prediction
Hal Daumé III and Daniel Marcu. 2005 · 2005
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The second international Chinese word segmentation bakeoff
Thomas Emerson. 2005 · 2005
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A maximum entropy approach to Chinese word segmentation
Jin Kiat Low, Hwee Tou Ng, and Wenyuan Guo. 2005 · 2005
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Learning structured prediction models: A large margin approach
Ben Taskar, Vassil Chatalbashev, Daphne Koller, and Carlos Guestrin. 2005 · 2005
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A conditional random field word segmenter for SIGHAN bakeoff 2005
Huihsin Tseng, Pichuan Chang, Galen Andrew, Daniel Jurafsky, and Christopher Manning. 2005 · 2005
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A hybrid markov/semi-markov conditional random field for sequence segmentation
Galen Andrew. 2006 · 2006
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Which is essential for Chinese word segmentation: Character versus word
Chang-Ning Huang and Hai Zhao. 2006 · 2006
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Effective tag set selection in Chinese word segmentation via conditional random field modeling
Hai Zhao, Chang-Ning Huang, Mu Li, and Bao-Liang Lu. 2006 · 2006
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Chinese word segmentation: A decade review
Changning Huang and Hai Zhao. 2007 · 2007
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Chinese segmentation with a word-based perceptron algorithm
Yue Zhang and Stephen Clark. 2007 · 2007
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Word-based and character-based word segmentation models: Comparison and combination
Weiwei Sun. 2010 · 2010
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A unified character-based tagging framework for Chinese word segmentation
Hai Zhao, Chang-Ning Huang, Mu Li, and Bao-Liang Lu. 2010 · 2010
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Natural language processing (almost) from scratch
Ronan Collobert, Jason Weston, Léon Bottou, Michael Karlen, Koray Kavukcuoglu, and Pavel Kuksa. 2011 · 2011
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Syntactic processing using the generalized perceptron and beam search
Yue Zhang and Stephen Clark. 2011 · 2011
Deep learning for Chinese word segmentation and POS tagging
Xiaoqing Zheng, Hanyang Chen, and Tianyu Xu. 2013 · 2013
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Max-margin tensor neural network for Chinese word segmentation
Wenzhe Pei, Tao Ge, and Baobao Chang. 2014 · 2014
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Deep learning for character-based information extraction
Yanjun Qi, Sujatha G Das, Ronan Collobert, and Jason Weston. 2014 · 2014
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Two knives cut better than one: Chinese word segmentation with dual decomposition
Mengqiu Wang, Rob Voigt, and Christopher D. Manning. 2014 · 2014
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Long short-term memory neural networks for Chinese word segmentation
Xinchi Chen, Xipeng Qiu, Chenxi Zhu, Pengfei Liu, and Xuanjing Huang. 2015b · 2015
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Transition-based dependency parsing with stack long short-term memory
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Integrating unsupervised and supervised word segmentation: The role of goodness measures
Hai Zhao and Chunyu Kit. 2011 · 2011
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Structured perceptron with inexact search
Liang Huang, Suphan Fayong, and Yang Guo. 2012 · 2012
Cited alongside, same era.
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
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LSTM neural networks for language modeling
Martin Sundermeyer, Ralf Schlüter, and Hermann Ney. 2012 · 2012
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Efficient estimation of word representations in vector space
Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. 2013 · 2013
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Graph-based semi-supervised model for joint Chinese word segmentation and part-of-speech tagging
Xiaodong Zeng, Derek F. Wong, Lidia S. Chao, and Isabel Trancoso. 2013 · 2013
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Chris Dyer, Miguel Ballesteros, Wang Ling, Austin Matthews, and Noah A. Smith. 2015 · 2015
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Accurate linear-time Chinese word segmentation via embedding matching
Jianqiang Ma and Erhard Hinrichs. 2015 · 2015
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Neural word segmentation learning for Chinese
Deng Cai and Hai Zhao. 2016 · 2016
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Exploring segment representations for neural segmentation models
Yijia Liu, Wanxiang Che, Jiang Guo, Bing Qin, and Ting Liu. 2016 · 2016
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Dependency-based gated recursive neural network for Chinese word segmentation
Jingjing Xu and Xu Sun. 2016 · 2016
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Transition-based neural word segmentation
Meishan Zhang, Yue Zhang, and Guohong Fu. 2016 · 2016
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Dynet: The dynamic neural network toolkit
Graham Neubig, Chris Dyer, Yoav Goldberg, Austin Matthews, Waleed Ammar, Antonios Anastasopoulos, Miguel Ballesteros, David Chiang, Daniel Clothiaux, Trevor Cohn, Kevin Duh, Manaal Faruqui, Cynthia Gan, Dan Garrette, Yangfeng Ji, Lingpeng Kong, Adhiguna Kuncoro, Gaurav Kumar, Chaitanya Malaviya, Paul Michel, Yusuke Oda, Matthew Richardson, Naomi Saphra, Swabha Swayamdipta, and Pengcheng Yin. 2017 · 2017
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A hybrid model for Chinese spelling check
Hai Zhao, Deng Cai, Yang Xin, Wang Yuzhu, and Zhongye Jia. 2017 · 2017
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