【綜述】近年來NLP在法律領域的相關研究工作

跟着博主的腳步,每天進步一點點640640

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導讀

今天總結了下近年來NLP在法律領域的相關研究工作,包括論文、競賽和一些優秀項目、在線系統。該項目放到了github上了:

https://github.com/bamtercelboo/Awesome-Law-NLP-Research-Work

歡迎大家starfork

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之後會繼續完善該項目,希望對大家有幫助!

Paper

論文鏈接和代碼請在github中獲取!

2017

  • Learning to predict charges for criminal cases with legal basis(2017), Bingfeng Luo et al. 

  • Multi-Task CNN for Classification of Chinese Legal Questions(2017), Guangyi Xiao et al. 

  • An Ontological Chinese Legal Consultation System(2017), Ni Zhang et al. 

  • Legal NLP Introduction(2017), Adeline Nazarenko et al. 

  • Exploring the use of text classification in the legal domain(2017), Octavia-Maria Sulea et al. 

  • Predicting the Law Area and Decisions of French Supreme Court Cases(2017), Octavia-Maria Sulea et al. 

  • Text summarization from legal documents: a survey(2017), Ambedkar Kanapala et al. 

  • Applying Deep Neural Network to Retrieve Relevant Civil Law Articles(2017), Anh Hang Nga Tran et al. 

2018

  • Overview of cail2018: legal judgment prediction competition(2018), Haoxi Zhong et al. 

  • CAIL2018: A Large-Scale Legal Dataset for Judgment Prediction(2018), Chaojun Xiao et al. 

  • Few-shot charge prediction with discriminative legal attributes(2018), Zikun Hu et al. 

  • Interpretable rationale augmented charge prediction system(2018), Xin Jiang et al. 

  • Interpretable Charge Predictions for Criminal Cases: Learning to Generate Court Views from Fact Descriptions(2018), Hai Ye et al. 

  • Legal judgment prediction via topological learning(2018), Haoxi Zhong et al. 

  • SECaps: A Sequence Enhanced Capsule Model for Charge Prediction(2018), Congqing He et al. 

  • A Markov Logic Networks Based Method to Predict Judicial Decisions of Divorce Cases(2018), Jiajing Li et al. 

  • Research and Design on Cognitive Computing Framework for Predicting Judicial Decisions(2018), Jiajing Li et al. 

  • Automatic judgment prediction via legal reading comprehension(2018), Shangbang Long et al. 

  • Law text classification using semi-supervised convolutional neural networks(2018), Penghua Li et al. 

  • 人工智能與法律結合的現狀及發展趨勢(State-of-the-art and Development Trend of Artificial Intelligence Combined with Law)(2018), 黃俏娟等. 

  • 法律與人工智能的法哲學思考——以大數據深度學習爲考察重點(A Philosophic Though on the Law and AI)(2018), 吳旭陽. 

  • 人工智能介入司法領域路徑分析(Methods of Judicial Application of AI Technologies)(2018), 潘庸魯. 

  • 智能輔助:AI下民商事辦案系統的建構——以裁判思維與要件標註爲切入點(AI Assistance: How to Handle Civil and Commercial Cases)(2018), 蔡一博. 

  • 我國司法人工智能建設的問題與應對(Judicial AI in China: Issues and Solutions)(2018), 程凡卿. 

  • NLP Based Latent Semantic Analysis for Legal Text Summarization(2018), Kaiz Merchant et al. 

  • A Methodology for a Criminal Law and Procedure Ontology for Legal Question Answering(2018), Biralatei Fawei et al. 

  • Deep learning in law: early adaptation and legal word embeddings trained on large corpora(2018), Ilias Chalkidis et al. 


Competition

  • 讓AI當法官(BDCI2017), 2017年, 舉辦單位(明略數據 & 中國計算機學會)

    https://www.datafountain.cn/competitions/277/details

  • "中國法研杯" ---- 司法人工智能挑戰賽(CAIL2018),2018年,舉辦單位(中國司法大數據研究院、中國中文信息學會、中電科系統團委聯合清華大學、北京大學、中國科學院軟件研究所)

    http://cail.cipsc.org.cn/

Online System

  • 覓律搜索, 北京冪律智能科技有限責任公司

    覓律so.legal:https://solegal.cn/

The End

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