Self-training improves few-shot learning in legal artificial intelligence tasks.
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| Title: | Self-training improves few-shot learning in legal artificial intelligence tasks. |
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| Authors: | Zhou, Yulin1,2,3, Qin, Yongbin1,2,3, ybqin@gzu.edu.cn, Huang, Ruizhang1,2,3, Chen, Yanping1,2,3, Lin, Chuan1,2,3, Zhou, Yuan4 |
| Source: | Artificial Intelligence & Law; Sep2025, Vol. 33 Issue 3, p809-825, 17p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 188151179 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=188151179 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10506-024-09403-z Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 17 StartPage: 809 Titles: – TitleFull: Self-training improves few-shot learning in legal artificial intelligence tasks. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Zhou, Yulin – PersonEntity: Name: NameFull: Qin, Yongbin – PersonEntity: Name: NameFull: Huang, Ruizhang – PersonEntity: Name: NameFull: Chen, Yanping – PersonEntity: Name: NameFull: Lin, Chuan – PersonEntity: Name: NameFull: Zhou, Yuan IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Sep2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 09248463 Numbering: – Type: volume Value: 33 – Type: issue Value: 3 Titles: – TitleFull: Artificial Intelligence & Law Type: main |
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