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Optimizing boundary dynamics for nested named entity recognition via semantic refinement and trimming.

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Title: Optimizing boundary dynamics for nested named entity recognition via semantic refinement and trimming.
Authors: Gan, Yanglei1, Liu, Yao1, liuyao@uestc.edu.cn, Cai, Yuxiang1, Lin, Run1, Yang, Song2, Liu, Qiao1, Wang, Yashen3, Shi, Xiaojun3
Source: Neural Networks; Apr2026, Vol. 196, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
FullText Text:
  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 191270527
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Optimizing boundary dynamics for nested named entity recognition via semantic refinement and trimming.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=191270527
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.neunet.2025.108218
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      – Code: eng
        Text: English
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      – TitleFull: Optimizing boundary dynamics for nested named entity recognition via semantic refinement and trimming.
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            NameFull: Gan, Yanglei
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            NameFull: Lin, Run
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            NameFull: Yang, Song
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            NameFull: Liu, Qiao
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            NameFull: Wang, Yashen
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            – D: 01
              M: 04
              Text: Apr2026
              Type: published
              Y: 2026
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              Value: 196
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            – TitleFull: Neural Networks
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