A Region-Shrinking-Based Acceleration for Classification-Based Derivative-Free Optimization

no code implementations • 20 Sep 2023 • Tianyi Han, Jingya Li, Zhipeng Guo, Yuan Jin

Derivative-free optimization algorithms play an important role in scientific and engineering design optimization problems, especially when derivative information is not accessible.

Language Modelling

CAIL2019-SCM: A Dataset of Similar Case Matching in Legal Domain

2 code implementations • 20 Nov 2019 • Chaojun Xiao, Haoxi Zhong, Zhipeng Guo, Cunchao Tu, Zhiyuan Liu, Maosong Sun, Tianyang Zhang, Xianpei Han, Zhen Hu, Heng Wang, Jianfeng Xu

In this paper, we introduce CAIL2019-SCM, Chinese AI and Law 2019 Similar Case Matching dataset.

Traffic Object Detection

Overview of CAIL2018: Legal Judgment Prediction Competition

2 code implementations • 13 Oct 2018 • Haoxi Zhong, Chaojun Xiao, Zhipeng Guo, Cunchao Tu, Zhiyuan Liu, Maosong Sun, Yansong Feng, Xianpei Han, Zhen Hu, Heng Wang, Jianfeng Xu

In this paper, we give an overview of the Legal Judgment Prediction (LJP) competition at Chinese AI and Law challenge (CAIL2018).

Legal Judgment Prediction via Topological Learning

1 code implementation • EMNLP 2018 • Haoxi Zhong, Zhipeng Guo, Cunchao Tu, Chaojun Xiao, Zhiyuan Liu, Maosong Sun

Legal Judgment Prediction (LJP) aims to predict the judgment result based on the facts of a case and becomes a promising application of artificial intelligence techniques in the legal field.

Multi-Task Learning Text Classification

CAIL2018: A Large-Scale Legal Dataset for Judgment Prediction

3 code implementations • 4 Jul 2018 • Chaojun Xiao, Haoxi Zhong, Zhipeng Guo, Cunchao Tu, Zhiyuan Liu, Maosong Sun, Yansong Feng, Xianpei Han, Zhen Hu, Heng Wang, Jianfeng Xu

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.

Text Classification