裁量基准智能推荐方法
本申请涉及一种裁量基准智能推荐方法,该方法包括:对违法事实文本进行多标签分类得到违法行为类型;提取裁量因子并量化,按违法行为类型对应的权重加权得到裁量得分;根据裁量基准圈定由离散裁量档次构成的候选裁量集合;将违法事实文本与裁量得分作为输入,通过预训练语言模型在候选裁量集合内确定推荐裁量档次;计算违法事实文本与历史案例的相似度并统计裁量分布;输出包含推荐裁量档次、处罚幅度、裁量得分与裁量分布的裁量推荐结果作为辅助参照。本申请在合法可控的前提下实现对复杂案情的灵活适配。
APPLICANTS
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