nlp领域最值得读的论文(近年来NLP在法律领域的相关研究工作)

来源:深度学习自然语言处理

作者:liuzonglin

nlp领域最值得读的论文(近年来NLP在法律领域的相关研究工作)(1)

导读

今天总结了下近年来NLP在法律领域的相关研究工作,包括论文、竞赛和一些优秀项目、在线系统。该项目放到了github上了:

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

欢迎大家starfork

nlp领域最值得读的论文(近年来NLP在法律领域的相关研究工作)(2)

之后会继续完善该项目,希望对大家有帮助!

Paper

论文链接和代码请在github中获取!

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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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

  • 让AI当法官(BDCI2017), 2017年, 举办单位(明略数据 & 中国计算机学会)https://www.datafountain.cn/competitions/277/details
  • "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、北京大学、中国科学院软件研究所)http://cail.cipsc.org.cn/

Online System

  • 觅律搜索, 北京幂律智能科技有限责任公司觅律so.legal:https://solegal.cn/

The End

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