189 citations · 326 across the 10 of their papers we have counts for
11 papers
LEVEN: A Large-Scale Chinese Legal Event Detection Dataset
Feng Yao, Chaojun Xiao, Xiaozhi Wang +7
Recognizing facts is the most fundamental step in making judgments, hence detecting events in the legal documents is important to legal case analysis tasks. However, existing Legal…
Lawformer: A Pre-trained Language Model for Chinese Legal Long Documents
Chaojun Xiao, Xueyu Hu, Zhiyuan Liu +2
Legal artificial intelligence (LegalAI) aims to benefit legal systems with the technology of artificial intelligence, especially natural language processing (NLP). Recently, inspir…
Equality before the Law: Legal Judgment Consistency Analysis for Fairness
Yuzhong Wang, Chaojun Xiao, Shirong Ma +5
In a legal system, judgment consistency is regarded as one of the most important manifestations of fairness. However, due to the complexity of factual elements that impact sentenci…
How Does NLP Benefit Legal System: A Summary of Legal Artificial Intelligence
Haoxi Zhong, Chaojun Xiao, Cunchao Tu +3
Legal Artificial Intelligence (LegalAI) focuses on applying the technology of artificial intelligence, especially natural language processing, to benefit tasks in the legal domain.…
JEC-QA: A Legal-Domain Question Answering Dataset
Haoxi Zhong, Chaojun Xiao, Cunchao Tu +3
We present JEC-QA, the largest question answering dataset in the legal domain, collected from the National Judicial Examination of China. The examination is a comprehensive evaluat…
CAIL2019-SCM: A Dataset of Similar Case Matching in Legal Domain
Chaojun Xiao, Haoxi Zhong, Zhipeng Guo +8
In this paper, we introduce CAIL2019-SCM, Chinese AI and Law 2019 Similar Case Matching dataset. CAIL2019-SCM contains 8,964 triplets of cases published by the Supreme People's Cou…
CED: Credible Early Detection of Social Media Rumors
Changhe Song, Cunchao Tu, Cheng Yang +2
Rumors spread dramatically fast through online social media services, and people are exploring methods to detect rumors automatically. Existing methods typically learn semantic rep…
Overview of CAIL2018: Legal Judgment Prediction Competition
Haoxi Zhong, Chaojun Xiao, Zhipeng Guo +8
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 pred…
Automatic Judgment Prediction via Legal Reading Comprehension
Shangbang Long, Cunchao Tu, Zhiyuan Liu +1
Automatic judgment prediction aims to predict the judicial results based on case materials. It has been studied for several decades mainly by lawyers and judges, considered as a no…
CAIL2018: A Large-Scale Legal Dataset for Judgment Prediction
Chaojun Xiao, Haoxi Zhong, Zhipeng Guo +8
In this paper, we introduce the \textbf{C}hinese \textbf{AI} and \textbf{L}aw challenge dataset (CAIL2018), the first large-scale Chinese legal dataset for judgment prediction. \da…
A Unified Framework for Community Detection and Network Representation Learning
Cunchao Tu, Xiangkai Zeng, Hao Wang +5
Network representation learning (NRL) aims to learn low-dimensional vectors for vertices in a network. Most existing NRL methods focus on learning representations from local contex…