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Found 8 papers, 6 papers with code
Equality before the Law: Legal Judgment Consistency Analysis for Fairness
We propose to simulate judges from different groups with legal judgment prediction (LJP) models and measure the judicial inconsistency with the disagreement of the judgment results given by LJP models trained on different groups.
How Does NLP Benefit Legal System: A Summary of Legal Artificial Intelligence
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
We present JEC-QA, the largest question answering dataset in the legal domain, collected from the National Judicial Examination of China.
CAIL2019-SCM: A Dataset of Similar Case Matching in Legal Domain
In this paper, we introduce CAIL2019-SCM, Chinese AI and Law 2019 Similar Case Matching dataset.
Adversarial Language Games for Advanced Natural Language Intelligence
In this work, we propose a challenging adversarial language game called Adversarial Taboo as an example, in which an attacker and a defender compete around a target word.
Overview of CAIL2018: Legal Judgment Prediction Competition
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
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.
CAIL2018: A Large-Scale Legal Dataset for Judgment Prediction
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.
