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Legal judgment prediction via optimized multi-task learning fusing similarity correlation.

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Title: Legal judgment prediction via optimized multi-task learning fusing similarity correlation.
Authors: Guo, Xiaoding1, Zao, Feifei1, Shen, Zhuo2, Zhang, Lei1, zhanglei@henu.edu.cn
Source: Applied Intelligence; Nov2023, Vol. 53 Issue 21, p26205-26229, 25p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 173152567
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Legal judgment prediction via optimized multi-task learning fusing similarity correlation.
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  Data: <searchLink fieldCode="AU" term="%22Guo%2C+Xiaoding%22">Guo, Xiaoding</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Zao%2C+Feifei%22">Zao, Feifei</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Shen%2C+Zhuo%22">Shen, Zhuo</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Zhang%2C+Lei%22">Zhang, Lei</searchLink><relatesTo>1</relatesTo>, <i>zhanglei@henu.edu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22Applied+Intelligence%22">Applied Intelligence</searchLink>; Nov2023, Vol. 53 Issue 21, p26205-26229, 25p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=173152567
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s10489-023-04904-x
    Languages:
      – Code: eng
        Text: English
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      Pagination:
        PageCount: 25
        StartPage: 26205
    Titles:
      – TitleFull: Legal judgment prediction via optimized multi-task learning fusing similarity correlation.
        Type: main
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            NameFull: Guo, Xiaoding
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            NameFull: Zao, Feifei
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            NameFull: Shen, Zhuo
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          Name:
            NameFull: Zhang, Lei
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            – D: 15
              M: 11
              Text: Nov2023
              Type: published
              Y: 2023
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              Value: 0924669X
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              Value: 53
            – Type: issue
              Value: 21
          Titles:
            – TitleFull: Applied Intelligence
              Type: main
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