Summary of NLP related research work in the field of law in recent years, contains paper, competition and some excellent projects, online system.
It will be updated gradually.
- Outline
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Learning to predict charges for criminal cases with legal basis(2017), Bingfeng Luo et al. [PDF] [Blog]
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Multi-Task CNN for Classification of Chinese Legal Questions(2017), Guangyi Xiao et al. [PDF]
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An Ontological Chinese Legal Consultation System(2017), Ni Zhang et al. [PDF]
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Chinese Questions Classification in the Law Domain(2017), Guangyi Xiao et al. [PDF]
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Legal NLP Introduction(2017), Adeline Nazarenko et al. [PDF]
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Exploring the use of text classification in the legal domain(2017), Octavia-Maria Sulea et al. [PDF]
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Predicting the Law Area and Decisions of French Supreme Court Cases(2017), Octavia-Maria Sulea et al. [PDF]
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Text summarization from legal documents: a survey(2017), Ambedkar Kanapala et al. [PDF]
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Applying Deep Neural Network to Retrieve Relevant Civil Law Articles(2017), Anh Hang Nga Tran et al. [PDF]
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Legal Question Answering using Ranking SVM and Deep Convolutional Neural Network(2017), Phong-Khac Do et al. [PDF]
- Overview of cail2018: legal judgment prediction competition(2018), Haoxi Zhong et al. [PDF] [Code]
- CAIL2018: A Large-Scale Legal Dataset for Judgment Prediction(2018), Chaojun Xiao et al. [PDF]
- Few-shot charge prediction with discriminative legal attributes(2018), Zikun Hu et al. [PDF] [Code]
- Interpretable rationale augmented charge prediction system(2018), Xin Jiang et al. [PDF]
- Interpretable Charge Predictions for Criminal Cases: Learning to Generate Court Views from Fact Descriptions(2018), Hai Ye et al. [PDF] [Code]
- Legal judgment prediction via topological learning(2018), Haoxi Zhong et al. [PDF] [Code]
- SECaps: A Sequence Enhanced Capsule Model for Charge Prediction(2018), Congqing He et al. [PDF]
- A Markov Logic Networks Based Method to Predict Judicial Decisions of Divorce Cases(2018), Jiajing Li et al. [PDF]
- Research and Design on Cognitive Computing Framework for Predicting Judicial Decisions(2018), Jiajing Li et al. [PDF]
- Automatic judgment prediction via legal reading comprehension(2018), Shangbang Long et al. [PDF]
- Law text classification using semi-supervised convolutional neural networks(2018), Penghua Li et al. [PDF]
- Legal Article-Aware End-To-End Memory Network for Charge Prediction(2018), Yatian Shen et al. [PDF]
- 人工智能与法律结合的现状及发展趋势(State-of-the-art and Development Trend of Artificial Intelligence Combined with Law)(2018), 黄俏娟等. [PDF]
- 法律与人工智能的法哲学思考——以大数据深度学习为考察重点(A Philosophic Though on the Law and AI)(2018), 吴旭阳. [PDF]
- 人工智能介入司法领域路径分析(Methods of Judicial Application of AI Technologies)(2018), 潘庸鲁. [PDF]
- 智能辅助:AI下民商事办案系统的建构——以裁判思维与要件标注为切入点(AI Assistance: How to Handle Civil and Commercial Cases)(2018), 蔡一博. [PDF]
- 我国司法人工智能建设的问题与应对(Judicial AI in China: Issues and Solutions)(2018), 程凡卿. [PDF]
- NLP Based Latent Semantic Analysis for Legal Text Summarization(2018), Kaiz Merchant et al. [PDF]
- A Methodology for a Criminal Law and Procedure Ontology for Legal Question Answering(2018), Biralatei Fawei et al. [PDF]
- Deep learning in law: early adaptation and legal word embeddings trained on large corpora(2018), Ilias Chalkidis et al. [PDF]
- Using OpenWordnet-PT for Question Answering on Legal Domain(2018), Pedro Delfino et al. [PDF]
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Legal Judgment Prediction via Multi-Perspective Bi-Feedback Network(2019), Yang Wenmian et al. [PDF]
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基于深度学习的判决结果倾向性分析(Orientation analysis of judgment results based on deep learning)(2019), 王业沛等. [PDF]
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融入罪名关键词的法律判决预测多任务学习模型(Multi-task learning model for legal judgment predictions with charge keywords)(2019), 刘宗林等. [PDF]
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基于混合深度神经网络模型的司法文书智能化处理(Judicial document intellectual processing using hybrid deep neural networks)(2019), 王文广等. [PDF]
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基于序列到序列模型的法律问题关键词抽取(Keyphrase extraction for legal questions based on a sequence to sequence model)(2019), 曾道建等. [PDF]
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Neural Legal Judgment Prediction in English(2019), Ilias Chalkidis et al. [PDF]
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An External Knowledge Enhanced Multi-label Charge Prediction Approach with Label Number Learning(2019), Duan Wei, Li Lin et al. [PDF]
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Charge Prediction with Legal Attention(2019), Qiaoben Bao et al. [PDF]
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Large-Scale Multi-Label Text Classification on EU Legislation(2019), Ilias Chalkidis et al. [PDF]
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Extreme Multi-Label Legal Text Classification: A Case Study in EU Legislation(2019), Ilias Chalkidis et al. [PDF]
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Using Case Facts to Predict Penalty with Deep Learning(2019), Yu Li et al. [PDF]
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Charge-Based Prison Term Prediction with Deep Gating Network(2019), Huajie Chen et al. [PDF]
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Case Facts Analysis Method Based on Deep Learning(2019), Zihuan Xu et al. [PDF]
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Hierarchical Matching Network for Crime Classification(2019), Pengfei Wang et al. [PDF]
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A Few-Shot Transfer Learning Approach Using Text-label Embedding with Legal Attributes for Law Article Prediction(2019), Yuh-Shyan Chen et al. [PDF]
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A Recurrent Attention Network for Judgment Prediction(2019), Ze Yang et al. [PDF]
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Learning to Predict Charges for Judgment with Legal Graph(2019), Si Chen et al. [PDF]
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Research and Design on Cognitive Computing Framework for Predicting Judicial Decisions(2019), Jiajing Li et al. [PDF]
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让AI当法官(BDCI2017), 2017年， 举办单位（明略数据 & 中国计算机学会）[Detail]
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"中国法研杯" ---- 司法人工智能挑战赛(CAIL2018)，2018年，举办单位（中国司法大数据研究院、中国中文信息学会、中电科系统团委联合清华大学、清华大学、北京大学、中国科学院软件研究所）[Detail] [Blog-1] [Blog-2]
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"中国法研杯" ---- 司法人工智能挑战赛(CAIL2019)，2019年
update later.
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法信(智答版), 人民法院出版集团、中国司法大数据研究院和北京国双科技有限公司， ---> [法信(智答版)]
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觅律搜索, 北京幂律智能科技有限责任公司， ---> [觅律so.legal]
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度小法---法律智库, 百度， ---> [度小法]
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北大法宝, 北京北大英华科技有限公司、北京大学法制信息中心， ---> [北大法宝]
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法律智能判决系统, 黑龙江大学自然语言处理实验室， ---> [法律智能判决系统]
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法小飞, 哈工大讯飞联合实验室， ---> [法小飞-微信公众号]
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秘塔翻译及智能检索, 秘塔科技， ---> [秘塔翻译及智能检索]
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包小黑法律咨询, 杭州实在智能科技有限公司， ---> [包小黑法律咨询]
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if you have any question, you can open a issue or email bamtercelboo@{gmail.com, 163.com}.
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if you have any good suggestions, you can PR or email me.