arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2004.12158cs.CL
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NLP如何造福法律制度--法律人工智能综述

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)

Haoxi Zhong, Chaojun Xiao, Cunchao Tu, Tianyang Zhang, Zhiyuan Liu, Maosong Sun

摘要:

法律人工智能(LegalAI)专注于将人工智能技术,特别是自然语言处理,应用于法律领域的任务。近年来,LegalAI迅速引起了人工智能研究人员和法律专业人士越来越多的关注,因为LegalAI有利于法律系统将法律专业人士从迷宫般的文书工作中解放出来。法律专业人士经常考虑如何从基于规则和基于符号的方法来解决任务,而NLP研究人员则更多地关注数据驱动和嵌入方法。本文介绍了LegalAI的发展历史、研究现状以及未来的研究方向。我们从法律专业人士和NLP研究人员的角度说明了这些任务,并展示了LegalAI中的几个代表性应用。我们进行了实验,并提供了现有作品的优点和缺点的深入分析,以探索可能的未来方向。您可以从https://github.com/thunlp/CLAIM找到我们工作的实施。

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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