Journal of East China Normal University(Natural Science) >

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

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

Computer Science

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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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

Cite this article

YANG Jiale , WANG Junhao , QIAN Weining , LUO Yifeng . Automatic extraction of corporate bankruptcy-related events from ruling documents[J]. Journal of East China Normal University(Natural Science), 2020 , 2020(4) : 88 -97 . DOI: 10.3969/j.issn.1000-5641.201921015

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