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Overview of CAIL2018: Legal Judgment Prediction Competition

13 October 2018
Haoxiang Zhong
Chaojun Xiao
Zhipeng Guo
Cunchao Tu
Zhiyuan Liu
Maosong Sun
Yansong Feng
Xianpei Han
Zhen Hu
Heng Wang
Jianfeng Xu
    ELM
    AILaw
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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.

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