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The Legal Judgment Prediction (LJP) is to determine judgment results based on the fact descriptions of the cases.
Predicting supreme court decisions mathematically: A quantitative analysis of the “right to counsel” cases
Fred Kort · 1957
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Predicting supreme court cases probabilistically: The search and seizure cases, 1962-1981
Jeffrey A Segal · 1984
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Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber · 1997
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The supreme court’s many median justices
Benjamin E Lauderdale and Tom S Clark · 2012
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Convolutional neural networks for sentence classification
Yoon Kim · 2014
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The Stanford CoreNLP natural language processing toolkit
Christopher D. Manning, Mihai Surdeanu, John Bauer, Jenny Finkel, Steven J. Bethard, and David McClosky · 2014
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Fast and accurate deep network learning by exponential linear units (elus)
Djork-Arné Clevert, Thomas Unterthiner, and Sepp Hochreiter · 2015
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A method for stochastic optimization
D Kinga and J Ba Adam · 2015
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Representation learning using multi-task deep neural networks for semantic classification and information retrieval
Xiaodong Liu, Jianfeng Gao, Xiaodong He, Li Deng, Kevin Duh, and Ye-Yi Wang · 2015
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Multi-task sequence to sequence learning
Minh-Thang Luong, Quoc V Le, Ilya Sutskever, Oriol Vinyals, and Lukasz Kaiser · 2015
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Predicting judicial decisions of the european court of human rights: A natural language processing perspective
Nikolaos Aletras, Dimitrios Tsarapatsanis, Daniel Preoţiuc-Pietro, and Vasileios Lampos · 2016
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Thulac: An efficient lexical analyzer for chinese
Maosong Sun, Xinxiong Chen, Kaixu Zhang, Zhipeng Guo, and Zhiyuan Liu · 2016
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Hierarchical attention networks for document classification
Zichao Yang, Diyi Yang, Chris Dyer, Xiaodong He, Alex Smola, and Eduard Hovy · 2016
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Soft layer-specific multi-task summarization with entailment and question generation
Han Guo, Ramakanth Pasunuru, and Mohit Bansal · 2018
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Few-shot charge prediction with discriminative legal attributes
Zikun Hu, Xiang Li, Cunchao Tu, Zhiyuan Liu, and Maosong Sun · 2018
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A multi-lingual multi-task architecture for low-resource sequence labeling
Ying Lin, Shengqi Yang, Veselin Stoyanov, and Heng Ji · 2018
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Neural relation extraction via inner-sentence noise reduction and transfer learning
Tianyi Liu, Xinsong Zhang, Wanhao Zhou, and Weijia Jia · 2018
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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, et al · 2018
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Learning to predict charges for criminal cases with legal basis
Bingfeng Luo, Yansong Feng, Jianbo Xu, Xiang Zhang, and Dongyan Zhao · 2017
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Exploring the use of text classification in the legal domain
Octavia-Maria Sulea, Marcos Zampieri, Shervin Malmasi, Mihaela Vela, Liviu P Dinu, and Josef van Genabith · 2017
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A survey on multi-task learning
Yu Zhang and Qiang Yang · 2017
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Interpretable charge predictions for criminal cases: Learning to generate court views from fact descriptions
Hai Ye, Xin Jiang, Zhunchen Luo, and Wenhan Chao · 2018
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Legal judgment prediction via topological learning
Haoxi Zhong, Guo Zhipeng, Cunchao Tu, Chaojun Xiao, Zhiyuan Liu, and Maosong Sun · 2018
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