"Law and literature " comes from an American radical law school of the1970 s,and it was then considered a campaign,thus the school became one of the most post-modernistic schools of thought. Due to its weste..."Law and literature " comes from an American radical law school of the1970 s,and it was then considered a campaign,thus the school became one of the most post-modernistic schools of thought. Due to its western theoretic background,it is necessary to interpret its context; in other words,the "Law and literature"problems shall be interpreted in the Chinese context,which can also provide much inspiration and reference for the construction of China's legal system.展开更多
With the increase of bi-and multilingual proceedings,videoconference interpreting(VCI)has become common practice in many areas of national and cross-border criminal proceedings.However,the use of VCI has been impeded ...With the increase of bi-and multilingual proceedings,videoconference interpreting(VCI)has become common practice in many areas of national and cross-border criminal proceedings.However,the use of VCI has been impeded by some limits,such as no clear guidelines,lack of training,emotional issues,equipment limits,interaction impacts and inability to represent.Various measures thereby do need to be taken to improve VCI in guidelines,training,three-way interaction,technical support,and location of the defendant solicitor.Though basic practical problems can be addressed quickly,the combined complexities of it with both technological and linguistic-cultural mediation require further research.展开更多
随着人工智能技术的发展和海量司法数据的公开,面向“智慧司法”服务的司法判决预测(legal judgment prediction,LJP)任务受到了学术界和工业界的广泛关注,该任务旨在根据有限的案件事实描述文本来预测案件的罪名、法条和刑期。然而,现...随着人工智能技术的发展和海量司法数据的公开,面向“智慧司法”服务的司法判决预测(legal judgment prediction,LJP)任务受到了学术界和工业界的广泛关注,该任务旨在根据有限的案件事实描述文本来预测案件的罪名、法条和刑期。然而,现有工作缺乏对易混淆司法案件的智能决策的研究,且相关模型通常缺乏可解释性,这会导致模型预测严重依赖领域专家,阻碍LJP在不同法律体系中的应用。为此,提出了一种基于因果图分析的司法判决预测(prediction of legal judgment based on causal graph analysis,CGLJ)方法,首先从非结构化的法律事实描述文本中挖掘要素之间的因果关系,然后采用易混淆罪名聚类的构图方法构建因果图,既考虑了相似事实描述之间的差异,又增强了事实描述和法律法规之间的相互作用,最后将构建好的因果图融入深度神经网络进行联合推理,得到判决预测结果。此外,还对模型预测过程中的因果图推理过程进行了可视化,为判决结果提供了更好的可解释性。在2018中国“法研杯”司法人工智能挑战赛(CAIL2018)司法判决预测数据集上的实验结果表明,该方法相比基线模型取得了更好的效果。展开更多
文摘"Law and literature " comes from an American radical law school of the1970 s,and it was then considered a campaign,thus the school became one of the most post-modernistic schools of thought. Due to its western theoretic background,it is necessary to interpret its context; in other words,the "Law and literature"problems shall be interpreted in the Chinese context,which can also provide much inspiration and reference for the construction of China's legal system.
文摘With the increase of bi-and multilingual proceedings,videoconference interpreting(VCI)has become common practice in many areas of national and cross-border criminal proceedings.However,the use of VCI has been impeded by some limits,such as no clear guidelines,lack of training,emotional issues,equipment limits,interaction impacts and inability to represent.Various measures thereby do need to be taken to improve VCI in guidelines,training,three-way interaction,technical support,and location of the defendant solicitor.Though basic practical problems can be addressed quickly,the combined complexities of it with both technological and linguistic-cultural mediation require further research.
文摘随着人工智能技术的发展和海量司法数据的公开,面向“智慧司法”服务的司法判决预测(legal judgment prediction,LJP)任务受到了学术界和工业界的广泛关注,该任务旨在根据有限的案件事实描述文本来预测案件的罪名、法条和刑期。然而,现有工作缺乏对易混淆司法案件的智能决策的研究,且相关模型通常缺乏可解释性,这会导致模型预测严重依赖领域专家,阻碍LJP在不同法律体系中的应用。为此,提出了一种基于因果图分析的司法判决预测(prediction of legal judgment based on causal graph analysis,CGLJ)方法,首先从非结构化的法律事实描述文本中挖掘要素之间的因果关系,然后采用易混淆罪名聚类的构图方法构建因果图,既考虑了相似事实描述之间的差异,又增强了事实描述和法律法规之间的相互作用,最后将构建好的因果图融入深度神经网络进行联合推理,得到判决预测结果。此外,还对模型预测过程中的因果图推理过程进行了可视化,为判决结果提供了更好的可解释性。在2018中国“法研杯”司法人工智能挑战赛(CAIL2018)司法判决预测数据集上的实验结果表明,该方法相比基线模型取得了更好的效果。
