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Feb, 2018
刑事案件的可解释性指控预测：从事实描述中学习生成法院观点
Interpretable Charge Predictions for Criminal Cases: Learning to Generate Court Views from Fact Descriptions
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Hai Ye, Xin Jiang, Zhunchen Luo, Wenhan Chao
TL;DR
该研究通过提出一种基于标签的Seq2Seq模型，旨在从刑事案件的事实描述中生成法庭观点，以提高刑事指控预测系统的可解释性和帮助自动生成法律文件。
Abstract
In this paper, we propose to study the problem of COURT VIEW GENeration from the fact description in a
criminal case
. The task aims to improve the interpretability of charge prediction systems and help
automatic legal d
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