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What Can We Learn from the Legal Provisions in Judgment Documents?

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Business Information Systems Workshops (BIS 2014)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 183))

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Abstract

So far, more than 2 million judgment documents represented in the same pattern and standard have come up in China, which can be viewed as a huge knowledge base. From 150 thousands judgment documents in 2012, authors extracted more than 4,000 legal provisions, obtained the combination relationship among the provisions, calculated their lapping relationship, and constructed their co-occurrence matrix and lapping matrix. Then, authors proposed four recommendation algorithms. Experimental results reveal that the proposed algorithms which are considered the combination and lapping relationship of legal provisions perform more precisely and more meaningfully than traditional similar case recommendation algorithms which are not considered the relationship of provisions.

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Author information

Authors and Affiliations

  1. Information School, Renmin University of China, Beijing, China

    Jianlin Zhu, Xiaoping Yang & Jingqiao Peng

  2. School of Information Managment and Engineering, Hebei Finance University, Baoding, China

    Jianlin Zhu

  3. School of Psychology, Beijing Normal University, Beijing, China

    Qian Wang

  4. Student Office, North China Electric Power University, Baoding, China

    Qian Wang

Authors
  1. Jianlin Zhu
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  2. Xiaoping Yang
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  3. Jingqiao Peng
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  4. Qian Wang
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Corresponding author

Correspondence to Jianlin Zhu .

Editor information

Editors and Affiliations

  1. Poznań University of Economics, Poznań, Poland

    Witold Abramowicz

  2. University of Nicosia, Nicosia, Cyprus

    Angelika Kokkinaki

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Zhu, J., Yang, X., Peng, J., Wang, Q. (2014). What Can We Learn from the Legal Provisions in Judgment Documents?. In: Abramowicz, W., Kokkinaki, A. (eds) Business Information Systems Workshops. BIS 2014. Lecture Notes in Business Information Processing, vol 183. Springer, Cham. https://doi.org/10.1007/978-3-319-11460-6_23

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  • DOI: https://doi.org/10.1007/978-3-319-11460-6_23

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11459-0

  • Online ISBN: 978-3-319-11460-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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