Fetching the paper…
Reading the bibliography…
Judgment prediction for legal cases has attracted much research efforts for its practice use, of which the ultimate goal is prison term prediction.
Predicting supreme court decisions mathematically: A quantitative analysis of the “right to counsel” cases
Fred Kort. 1957 · 1957
Earlier work this paper cites.
Quantitative analysis of judicial processes: Some practical and theoretical applications
S Sidney Ulmer. 1963 · 1963
Earlier work this paper cites.
Robust estimation of a location parameter
Peter J. Huber. 1964 · 1964
Earlier work this paper cites.
Predicting supreme court cases probabilistically: The search and seizure cases, 1962-1981
Jeffrey A Segal. 1984 · 1981
Earlier work this paper cites.
Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber. 1997 · 1997
Earlier work this paper cites.
Case instance generation and refinement for case-based criminal summary judgments in chinese
Chao-Lin Liu, Cheng-Tsung Chang, and Jim-How Ho. 2004 · 2004
Earlier work this paper cites.
Classifying criminal charges in chinese for web-based legal services
Chao-Lin Liu and Ting-Ming Liao. 2005 · 2005
Earlier work this paper cites.
Exploring phrase-based classification of judicial documents for criminal charges in chinese
Chao-Lin Liu and Chwen-Dar Hsieh. 2006 · 2006
Earlier work this paper cites.
Opinion mining and sentiment analysis
Bo Pang, Lillian Lee, et al. 2008 · 2008
Cited alongside, same era.
Convolutional neural networks for sentence classification
Yoon Kim. 2014 · 2014
Cited alongside, same era.
Legal and ethical issues in the prediction of recidivism
Michael Tonry. 2014 · 2014
Cited alongside, same era.
Recurrent convolutional neural networks for text classification
Siwei Lai, Liheng Xu, Kang Liu, and Jun Zhao. 2015 · 2015
Cited alongside, same era.
Predicting associated statutes for legal problems
Yi-Hung Liu, Yen-Liang Chen, and Wu-Liang Ho. 2015 · 2015
Cited alongside, same era.
Text matching as image recognition
Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Shengxian Wan, and Xueqi Cheng. 2016 · 2016
Cited alongside, same era.
Recurrent attention network on memory for aspect sentiment analysis
Peng Chen, Zhongqian Sun, Lidong Bing, and Wei Yang. 2017 · 2017
Later among the works it cites.
Learning to predict charges for criminal cases with legal basis
Bingfeng Luo, Yansong Feng, Jianbo Xu, Xiang Zhang, and Dongyan Zhao. 2017 · 2017
Later among the works it cites.
Few-shot charge prediction with discriminative legal attributes
Zikun Hu, Xiang Li, Cunchao Tu, Zhiyuan Liu, and Maosong Sun. 2018 · 2018
Later among the works it cites.
Transformation networks for target-oriented sentiment classification
Xin Li, Lidong Bing, Wai Lam, and Bei Shi. 2018 · 2018
Later among the works it cites.
Cail2018: A large-scale legal dataset for judgment prediction
Chaojun Xiao, Haoxi Zhong, Zhipeng Guo, Cunchao Tu, Zhiyuan Liu, Maosong Sun, Yansong Feng, Xianpei Han, Zhen Hu, Heng Wang, and Jianfeng Xu. 2018 · 2018
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Aspect level sentiment classification with deep memory network
Duyu Tang, Bing Qin, and Ting Liu. 2016 · 2016
Cited alongside, same era.
Attention-based lstm for aspect-level sentiment classification
Yequan Wang, Minlie Huang, xiaoyan zhu, and Li Zhao. 2016 · 2016
Cited alongside, same era.
Overview of cail2018: Legal judgment prediction competition
Haoxi Zhong, Chaojun Xiao, Zhipeng Guo, Cunchao Tu, Zhiyuan Liu, Maosong Sun, Yansong Feng, Xianpei Han, Zhen Hu, Heng Wang, and Jianfeng Xu. 2018a
Cited in the paper.
Legal judgment prediction via topological learning
Haoxi Zhong, Guo Zhipeng, Cunchao Tu, Chaojun Xiao, Zhiyuan Liu, and Maosong Sun. 2018b · 2018
Later among the works it cites.
Convolutional neural network architectures for matching natural language sentences
Baotian Hu, Zhengdong Lu, Hang Li, and Qingcai Chen. 2014 · 2050
Closest in time.