The construction of a case event logic graph for the judgment documentcan more intuitively retrospect the development of the case. This paperproposes a joint model of event extraction and relationship recognition for ...The construction of a case event logic graph for the judgment documentcan more intuitively retrospect the development of the case. This paperproposes a joint model of event extraction and relationship recognition for judgmentdocuments. By extracting the case information in the judgment document,a case event logic graph was constructed. The development process of the casewas shown, and a reference was provided for the analysis of the context of thecase. The experimental results show that the proposed method can extract eventsand identify the relationship between events, and the F1 value reaches 0.809. Thecase event logic graph reveals the development context of the case accurately andvividly.展开更多
为识别飞行冲突事故的诱发事件与关键演化链路,提出了一种基于事理图谱的事故分析方法。首先依据系统理论过程分析(System Theoretic Process Analysis,STPA)方法辨识飞行冲突场景潜在风险事件,归纳出描述各组件交互过程的场景分析框架...为识别飞行冲突事故的诱发事件与关键演化链路,提出了一种基于事理图谱的事故分析方法。首先依据系统理论过程分析(System Theoretic Process Analysis,STPA)方法辨识飞行冲突场景潜在风险事件,归纳出描述各组件交互过程的场景分析框架;再利用自然语言处理方法从事故文本中提取结构化事件,基于语义相似度匹配建立与风险事件的映射,组成事件演化链条,构建事理图谱;通过对飞行冲突场景进行仿真,运用统计指标定量分析网络拓扑结构,揭示事件对事故演化过程的影响力。结果表明,构建的事理图谱可视化诊断出机组突破管制员指令、机组操作不当导致偏航、航空器机上通讯导航设备故障、管制员纠正指令发布过晚、空中交通预警和防撞系统(Traffic Alert and Collision Avoidance System,TCAS)发出异常措施通告/活动通告(Resolution Advisory/Traffic Advisory,RA/TA)警告、航空器出现飞行汇聚趋势6个诱发事件与3条关键演化链路,其中机组突破管制员指令与管制员指令发布过晚为重点管控事件。展开更多
基金This work was supported in part by the National Key R&D Program of China under Grant 2018YFC0830104.
文摘The construction of a case event logic graph for the judgment documentcan more intuitively retrospect the development of the case. This paperproposes a joint model of event extraction and relationship recognition for judgmentdocuments. By extracting the case information in the judgment document,a case event logic graph was constructed. The development process of the casewas shown, and a reference was provided for the analysis of the context of thecase. The experimental results show that the proposed method can extract eventsand identify the relationship between events, and the F1 value reaches 0.809. Thecase event logic graph reveals the development context of the case accurately andvividly.
