Paper Info
Title
Overview of CAIL2018: Legal Judgment Prediction Competition.
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.
Year
Venue
Field
2018
arXiv: Artificial Intelligence
Computer science,Prison,Artificial intelligence,Machine learning,Management science
DocType
Volume
Citations 
Journal
abs/1810.05851
0
PageRank 
References 
Authors
0.34
0
11
Name
Order
Citations
PageRank
Haoxi Zhong132.77
Chaojun Xiao233.79
Zhipeng Guo331.08
Cunchao Tu419311.58
Zhiyuan Liu52037123.68
Maosong Sun62293162.86
Yansong Feng773564.17
Xianpei Han851342.98
Zhen Hu9112.96
Heng Wang10146.46
Jianfeng Xu1153.92