华东师范大学学报（自然科学版） >

2020 , Vol. 2020 >Issue 4: 88 - 97

DOI: https://doi.org/10.3969/j.issn.1000-5641.201921015

计算机科学

裁定文书中企业破产事件的自动化抽取

  • 杨佳乐 ,
  • 王俊豪 ,
  • 钱卫宁 ,
  • 罗轶凤
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  • 华东师范大学 数据科学与工程学院, 上海 200062

收稿日期: 2019-08-26

  网络出版日期: 2020-07-20

基金资助

国家重点研发计划(2018YFC0831900)

收起

Automatic extraction of corporate bankruptcy-related events from ruling documents

  • YANG Jiale ,
  • WANG Junhao ,
  • QIAN Weining ,
  • LUO Yifeng
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  • School of Data Science and Engineering, East China Normal University, Shanghai 200062, China

Received date: 2019-08-26

  Online published: 2020-07-20

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摘要

提出了一种企业破产事件抽取框架, 该框架可以从法律裁定书等卷宗资料中检测出相应的法律事件, 并抽取出与事件相关的结构化要素信息. 该框架结合从法院所获得的裁定书等卷宗信息, 运用远程监督技术来构建模型训练数据; 再通过命名实体识别技术对句级别的文书进行序列标注; 最后结合自定义的事件触发词表与事件字典, 运用事件抽取技术对法律文书进行事件识别, 并给出对应事件的结构化信息. 实验结果表明本框架能够取得较高的事件识别精度, 是一种有效的企业破产事件抽取框架.

关键词： 企业破产; 命名实体识别; 事件抽取

本文引用格式

杨佳乐 , 王俊豪 , 钱卫宁 , 罗轶凤 . 裁定文书中企业破产事件的自动化抽取[J]. 华东师范大学学报（自然科学版）, 2020 , 2020(4) : 88 -97 . DOI: 10.3969/j.issn.1000-5641.201921015

Abstract

This paper proposes a framework for extracting corporate bankruptcy-related events from ruling documents and thus extracts structured information about the related events. Combined with ruling documents, our framework uses distant supervision to generate training data; applies named entity recognition techniques to implement sequence label tagging on sentences of litigation documents; and implements event extraction with a self-defined list of event trigger words as well as an event dictionary to detect bankruptcy-related events and gather structured information. Our experimental results demonstrate the effectiveness of the framework.

Key words： enterprise bankruptcy; named entity recognition; event extraction

参考文献

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