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NE–LP: Normalized entropy- and loss prediction-based sampling for active learning in Chinese word segmentation on EHRs.

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Title: NE–LP: Normalized entropy- and loss prediction-based sampling for active learning in Chinese word segmentation on EHRs.
Authors: Cai, Tingting1, Ma, Zhiyuan2, Zheng, Hong1, Zhou, Yangming1, ymzhou@ecust.edu.cn
Source: Neural Computing & Applications; Oct2021, Vol. 33 Issue 19, p12535-12549, 15p
Database: Applied Science & Technology Source
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s00521-021-05896-w
    Languages:
      – Code: eng
        Text: English
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        PageCount: 15
        StartPage: 12535
    Titles:
      – TitleFull: NE–LP: Normalized entropy- and loss prediction-based sampling for active learning in Chinese word segmentation on EHRs.
        Type: main
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            NameFull: Cai, Tingting
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            NameFull: Ma, Zhiyuan
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            NameFull: Zheng, Hong
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            NameFull: Zhou, Yangming
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            – D: 01
              M: 10
              Text: Oct2021
              Type: published
              Y: 2021
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              Value: 09410643
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            – Type: volume
              Value: 33
            – Type: issue
              Value: 19
          Titles:
            – TitleFull: Neural Computing & Applications
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