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International Conference of Pioneering Computer Scientists, Engineers and Educators

ICPCSEE 2021: Data Science pp 209–217Cite as

The Construction of Case Event Logic Graph for Judgment Documents

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1451))

Abstract

The construction of a case event logic graph for the judgment document can more intuitively retrospect the development of the case. This paper proposes a joint model of event extraction and relationship recognition for judgment documents. By extracting the case information in the judgment document, a case event logic graph was constructed. The development process of the case was shown, and a reference was provided for the analysis of the context of the case. The experimental results show that the proposed method can extract events and identify the relationship between events, and the F1 value reaches 0.809. The case event logic graph reveals the development context of the case accurately and vividly.

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Acknowledgments

The authors would like to thank the editor and the anonymous reviewers for their suggestions that have helped us improve the work.

This work was supported in part by the National Key R&D Program of China under Grant 2018YFC0830104.

Author information

Authors and Affiliations

  1. Beijing Institute of Technology, Beijing, China

    Congyao Zhang & Shiping Tang

Authors
  1. Congyao Zhang
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  2. Shiping Tang
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Corresponding author

Correspondence to Shiping Tang .

Editor information

Editors and Affiliations

  1. North University of China, Taiyuan, China

    Jianchao Zeng

  2. North University of China, Taiyuan, China

    Pinle Qin

  3. Northeast Forestry University, Harbin, China

    Weipeng Jing

  4. Harbin University of Science and Technology, Harbin, China

    Xianhua Song

  5. National Academy of Guo Ding Institute of Data Science, Beijing, China

    Zeguang Lu

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© 2021 Springer Nature Singapore Pte Ltd.

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Cite this paper

Zhang, C., Tang, S. (2021). The Construction of Case Event Logic Graph for Judgment Documents. In: Zeng, J., Qin, P., Jing, W., Song, X., Lu, Z. (eds) Data Science. ICPCSEE 2021. Communications in Computer and Information Science, vol 1451. Springer, Singapore. https://doi.org/10.1007/978-981-16-5940-9_16

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  • DOI: https://doi.org/10.1007/978-981-16-5940-9_16

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-5939-3

  • Online ISBN: 978-981-16-5940-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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