这台计算机学习特定措辞、事实或者违反人权法案件中常出现的情形。在分析过数百起案例后,计算机预测一次判决的准确率达79%。
"Previous studies have predicted outcomes based on the nature of the crime, or the policy position of each judge, so this is the first time judgements have been predicted using analysis of text prepared by the court," said co-author, Dr Vasileios Lampos, UCL Computer Science.
伦敦大学学院计算机科学专业的瓦斯里斯•兰博斯博士共同撰写了这份研究报告,他表示,“此前的研究基于犯罪行为的性质或每位法官的政策立场来预测结果,而这是第一次使用法院提供的案卷分析来预测判决结果。”
"We expect this sort of tool would improve efficiencies of high level, in demand courts, but to become a reality, we need to test it against more articles and the case data submitted to the court."
“我们希望这类工具能够提升工作繁忙的高级法院的效率,但是为了实现这一想法,我们需要对更多递交给法庭的文件以及案卷数据进行测试。”
"Ideally, we'd test and refine our algorithm using the applications made to the court rather than the published judgements, but without access to that data we rely on the court-published summaries of these submissions."
“理想的做法是,我们利用递交给法院的起诉书来测试和优化算法,而不是用已公开的判决。但是由于无法获得数据,我们只能依靠法庭公布的案件总结报告。”
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