近日，收到国际会议ICMI 2020会议组委会通知，杨亮老师的论文《Leniency to those who confess?: Predicting the Legal Judgement via Multi-Modal Analysis》被该会议录用，该会议全称是The 2020 International Conference on Multimodal Interaction，是中国计算机学会推荐C类国际会议，该研究主要关注于智慧司法领域，通过构建多模态司法判决预测数据集，提出一种有效的模型，会上与同行展开了深入的交流。
The Legal Judgement Prediction (LJP) is now under the spotlight. And it usually consists of multiple sub-tasks, such as penalty prediction (fine and imprisonment) and the prediction of articles of law. For penalty prediction, they are often closely related to the trial process, especially the attitude analysis of criminal suspects, which will influence the judgment of the presiding judge to some extent. In this paper, we firstly construct a multi-modal dataset with 517 cases of intentional assault, which contains trial information as well as the attitude of the suspect. Then, we explore the relationship between suspect`s attitude and term of imprisonment. Finally, we use the proposed multi-modal model to predict the suspect's attitude, and compare it with several strong baselines. Our experimental results show that the attitude of the criminal suspect is closely related to the penalty prediction, which provides a new perspective for LJP.