Paper Info
Title
CAIL2018: A Large-Scale Legal Dataset for Judgment Prediction.
Abstract
In this paper, we introduce the textbf{C}hinese textbf{AI} and textbf{L}aw challenge (CAIL2018), the first large-scale Chinese legal for judgment prediction. dataset contains more than $2.6$ million criminal cases published by the Supreme Peopleu0027s Court of China, which are several times larger than other datasets in existing works on judgment prediction. Moreover, the annotations of judgment results are more detailed and rich. It consists of applicable law articles, charges, and prison terms, which are expected to be inferred according to the fact descriptions of cases. For comparison, we implement several conventional text classification baselines for judgment prediction and experimental results show that it is still a challenge for current models to predict the judgment results of legal cases, especially on prison terms. To help the researchers make improvements on legal judgment prediction, both dataset and baselines will be released after the CAIL competitionfootnote{this http URL}.
Year
Venue
Field
2018
arXiv: Computation and Language
Computer science,Baseline (configuration management),Prison,Natural language processing,Artificial intelligence
DocType
Volume
Citations 
Journal
abs/1807.02478
0
PageRank 
References 
Authors
0.34
7
11
Name
Order
Citations
PageRank
Chaojun Xiao133.79
Haoxi Zhong232.77
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