Automatic extraction of corporate bankruptcy-related events from ruling documents

YANG Jiale; WANG Junhao; QIAN Weining; LUO Yifeng

doi:10.3969/j.issn.1000-5641.201921015

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Jul. 2020

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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 Sciences), 2020, (4): 88-97. doi: 10.3969/j.issn.1000-5641.201921015

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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 Sciences), 2020, (4): 88-97. doi: 10.3969/j.issn.1000-5641.201921015

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Automatic extraction of corporate bankruptcy-related events from ruling documents

doi: 10.3969/j.issn.1000-5641.201921015

School of Data Science and Engineering, East China Normal University, Shanghai　200062, China

Received Date: 2019-08-26
Available Online: 2020-07-20
Publish Date: 2020-07-25

Abstract

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.
- enterprise bankruptcy,
- named entity recognition,
- event extraction

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References(12)

References

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