How Does NLP Benefit Legal System: A Summary of Legal Artificial Intelligence
Tsinghua University(清华大学);Beijing National Research Center for Information Science and Technology(北京国家信息科学与技术研究中心);Beijing Powerlaw Intelligent Technology Co., Ltd.(北京幂律智能科技有限责任公司)
Legal Artificial Intelligence (LegalAI) focuses on applying the technology of artificial intelligence, especially natural language processing, to benefit tasks in the legal domain. In recent years, LegalAI has drawn increasing attention rapidly from both AI researchers and legal professionals, as LegalAI is beneficial to the legal system for liberating legal professionals from a maze of paperwork. Legal professionals often think about how to solve tasks from rule-based and symbol-based methods, while NLP researchers concentrate more on data-driven and embedding methods. In this paper, we introduce the history, the current state, and the future directions of research in LegalAI. We illustrate the tasks from the perspectives of legal professionals and NLP researchers and show several representative applications in LegalAI. We conduct experiments and provide an in-depth analysis of the advantages and disadvantages of existing works to explore possible future directions. You can find the implementation of our work from https://github.com/thunlp/CLAIM.
A Legal Approach to Hate Speech: Operationalizing the EU's Legal Framework against the Expression of Hatred as an NLP Task
Max Planck Institute for Research on Collective Goods(马克斯·普朗克集体物品研究所);Waseda Institute for Advanced Study, Waseda University(早稻田大学高等研究所);University of Duisburg-Essen(杜伊斯堡-埃森大学)
VLSP 2023 -- LTER: A Summary of the Challenge on Legal Textual Entailment Recognition
Vietnam Judicial Academy(越南司法学院);Hanoi Law University(河内法律大学);Hung Yen University of Technology and Education(兴安工业大学);Ho Chi Minh City University of Science(胡志明市科学大学);Japan Advanced Institute of Science and Technology(日本先进科学技术学院);The Institute of Statistical Mathematics(统计数学研究所);National Institute of Informatics(情报学研究所)
MAUD: An Expert-Annotated Legal NLP Dataset for Merger Agreement Understanding
ETH Zürich(苏黎世联邦理工学院);Harvard University(哈佛大学);The Atticus Project(阿提库斯项目);The Nueva School(努埃瓦学校);University of Wisconsin, Madison(威斯康星大学麦迪逊分校);Yale University(耶鲁大学);Stanford University(斯坦福大学);UC Berkeley(加州大学伯克利分校)
Japan Advanced Institute of Science and Technology(日本北陆先端科学技术大学院大学);VNU University of Engineering and Technology(越南国立大学工程技术大学);The Institute of Statistical Mathematics(统计数学研究所);Le Quy Don Technical University(黎贵惇技术大学);Ho Chi Minh University of Science(胡志明市科学大学);Thammasat University(泰国国立法政大学);Chulalongkorn University(朱拉隆功大学);National Electronics and Computer Technology Center(国家电子与计算机技术中心)
Singapore Management University(新加坡管理大学);CodeX, Stanford University, USA(CodeX,斯坦福大学,美国);Illinois Tech - Chicago Kent College of Law, USA(伊利诺伊理工学院—芝加哥肯特法学院,美国);Bucerius Law School, Germany(伯克勒尔法学院,德国);IIT-Bhubaneswar(IIT-巴纳拉斯瓦尔)
Analysing similarities between legal court documents using natural language processing approaches based on Transformers
TRT5 - Regional Labour Court of the 5th Region(第五地区地区劳工法院);SENAI CIMATEC University Center(SENAI CIMATEC大学中心);Surrey Institute for People-Centred AI(萨里以人为本人工智能研究所);University of Surrey(萨里大学)
LegalRelectra: Mixed-domain Language Modeling for Long-range Legal Text Comprehension
Claudius Legal Intelligence(克劳狄乌斯法律智能公司);Rutgers University(罗格斯大学);University of Pennsylvania(宾夕法尼亚大学);Princeton University(普林斯顿大学);University of California, San Diego(加州大学圣迭戈分校);Harvard University(哈佛大学)
GRAF: Graph Retrieval Augmented by Facts for Romanian Legal Multi-Choice Question Answering
National University of Science and Technology POLITEHNICA Bucharest, Faculty of Automatic Control and Computers(波兰技术大学布加勒斯特分校国家科学与技术大学,自动控制与计算机学院);Technical University of Munich(慕尼黑技术大学);Paris 1 Panthéon-Sorbonne University(巴黎第一大学);University of Bucharest(布加勒斯特大学)
From Dissonance to Insights: Dissecting Disagreements in Rationale Construction for Case Outcome Classification
Graduate Institute of International and Development Studies(国际与发展研究研究生院);Faculty of Law, Ruhr University Bochum(波鸿鲁尔大学法学院);IT University of Copenhagen(哥本哈根信息技术大学);LMU Munich(慕尼黑大学);Munich Center for Machine Learning (MCML)(慕尼黑机器学习中心);Technical University of Munich(慕尼黑工业大学)
One Law, Many Languages: Benchmarking Multilingual Legal Reasoning for Judicial Support
University of Bern(伯尔尼大学);University of Copenhagen(哥本哈根大学);Bern University of Applied Sciences(伯尔尼应用科学大学);University of Fribourg(弗里堡大学);Stanford University(斯坦福大学)
LEXTREME: A Multi-Lingual and Multi-Task Benchmark for the Legal Domain
University of Bern(伯尔尼大学);Bern University of Applied Sciences(伯尔尼应用科学大学);Stanford University(斯坦福大学);University of Zurich(苏黎世大学);University of Bologna(博洛尼亚大学);University of Copenhagen(哥本哈根大学)
Towards Linguistically Generalizable NLP Systems: A Workshop and Shared Task
University of Maryland(马里兰大学);University of Washington(华盛顿大学);Microsoft Research New York(微软纽约研究院)
本文介绍了第一次研讨会上建立语言概括的自然语言处理系统,以及相关的Build It Break It,语言版共享任务的总结。这次研讨会的目的是将NLP和语言学的研究人员聚集在一起,共同完成一项任务,旨在测试NLP系统在其训练数据分布之外的通用性。我们描述了共享任务的动机、设置和参与,讨论了一些突出的结果,并讨论了经验教训。