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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

Python 91.42% Perl 8.58%

event-extraction's Introduction

基于法律裁判文书的事件抽取及其应用

简介

针对交通肇事案件的裁判文书进行事件要素抽取,并在此基础上加入应用场景。

  • 数据来源OpenLaw

  • 分词:基于哈工大LTP系统+自定义词典

  • 词性标注、命名实体识别:基于哈工大LTP系统

  • 事件要素抽取:目前使用了CRF模型,近期考虑使用BiLSTM-CRF方法

  • 应用部分:包括判决结果的预测、案件相似度的比较等


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