论文标题
法庭的表现：法国上诉法院裁决的自动处理和可视化
Performance in the Courtroom: Automated Processing and Visualization of Appeal Court Decisions in France
论文作者
论文摘要
人工智能技术在法律领域已经很受欢迎且重要。我们从司法判决中提取法律指标，以减少法律体系信息的不对称性和访问权限差距。我们使用NLP方法从判断中提取有趣的实体/数据来构建律师和判断网络。我们建议指标根据律师的经验，胜利/损失比例以及其在律师网络中的重要性进行对。我们还在判断网络中执行社区发现，并提出指标来代表利用社区特征的案件的困难。
Artificial Intelligence techniques are already popular and important in the legal domain. We extract legal indicators from judicial judgment to decrease the asymmetry of information of the legal system and the access-to-justice gap. We use NLP methods to extract interesting entities/data from judgments to construct networks of lawyers and judgments. We propose metrics to rank lawyers based on their experience, wins/loss ratio and their importance in the network of lawyers. We also perform community detection in the network of judgments and propose metrics to represent the difficulty of cases capitalising on communities features.
