A comprehensive review of AI-driven Q&A systems with taxonomy, prospects, and challenges.
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| Title: | A comprehensive review of AI-driven Q&A systems with taxonomy, prospects, and challenges. |
|---|---|
| Authors: | Albassami, Zahrah1, zahrahalbassami1@gmail.com, Algarni, Abdulmohsen2, a.algarni@kku.edu.sa, Qahmash, Ayman1, a.qahmash@kku.edu.sa, Ahmad, Zulfiqar3, zulfiqarahmad@hu.edu.pk |
| Source: | Knowledge & Information Systems; Oct2025, Vol. 67 Issue 10, p8311-8334, 24p |
| 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: 188684084 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=188684084 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10115-025-02477-4 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 24 StartPage: 8311 Titles: – TitleFull: A comprehensive review of AI-driven Q&A systems with taxonomy, prospects, and challenges. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Albassami, Zahrah – PersonEntity: Name: NameFull: Algarni, Abdulmohsen – PersonEntity: Name: NameFull: Qahmash, Ayman – PersonEntity: Name: NameFull: Ahmad, Zulfiqar IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: Oct2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 02191377 Numbering: – Type: volume Value: 67 – Type: issue Value: 10 Titles: – TitleFull: Knowledge & Information Systems Type: main |
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