Overview of CAIL2018: Legal Judgment Prediction Competition

October 13, 2018 · The Cartographer · 🏛 arXiv.org

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"Title-pattern auto-detect: Overview of CAIL2018: Legal Judgment Prediction Competition"

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Authors Haoxi Zhong, Chaojun Xiao, Zhipeng Guo, Cunchao Tu, Zhiyuan Liu, Maosong Sun, Yansong Feng, Xianpei Han, Zhen Hu, Heng Wang, Jianfeng Xu arXiv ID 1810.05851 Category cs.AI: Artificial Intelligence Citations 37 Venue arXiv.org Last Checked 2 days ago

Abstract

In this paper, we give an overview of the Legal Judgment Prediction (LJP) competition at Chinese AI and Law challenge (CAIL2018). This competition focuses on LJP which aims to predict the judgment results according to the given facts. Specifically, in CAIL2018 , we proposed three subtasks of LJP for the contestants, i.e., predicting relevant law articles, charges and prison terms given the fact descriptions. CAIL2018 has attracted several hundreds participants (601 teams, 1, 144 contestants from 269 organizations). In this paper, we provide a detailed overview of the task definition, related works, outstanding methods and competition results in CAIL2018.