针对交通肇事案件的裁判文书进行事件要素抽取,并在此基础上加入判决结果预测、案件相似度匹配等应用场景。
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数据来源:OpenLaw
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分词:主要基于pkuseg
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词性标注:基于哈工大LTP/pkuseg
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命名实体识别:基于BiLSTM-CRF,涉及到的实体包括人名、地名、车辆信息、各类犯罪情节、判决结果等
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应用部分:包括判决结果的预测、案件相似度的对比等
This project forked from zhang17173/event-extraction
基于法律裁判文书的事件抽取及其应用,包括数据的分词、词性标注、命名实体识别、事件要素抽取和判决结果预测等内容
针对交通肇事案件的裁判文书进行事件要素抽取,并在此基础上加入判决结果预测、案件相似度匹配等应用场景。
数据来源:OpenLaw
分词:主要基于pkuseg
词性标注:基于哈工大LTP/pkuseg
命名实体识别:基于BiLSTM-CRF,涉及到的实体包括人名、地名、车辆信息、各类犯罪情节、判决结果等
应用部分:包括判决结果的预测、案件相似度的对比等
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