Semantic features analysis for biomedical lexical answer type prediction using ensemble learning approach.

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Title: Semantic features analysis for biomedical lexical answer type prediction using ensemble learning approach.
Authors: Hussain, Fiza Gulzar1, Wasim, Muhammad1, Cheema, Sehrish Munawar2, Pires, Ivan Miguel3, impires@ua.pt
Source: Knowledge & Information Systems; Aug2024, Vol. 66 Issue 8, p5003-5019, 17p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
An: 178529674
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  Data: Semantic features analysis for biomedical lexical answer type prediction using ensemble learning approach.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=178529674
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s10115-024-02113-7
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      – Code: eng
        Text: English
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        PageCount: 17
        StartPage: 5003
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      – TitleFull: Semantic features analysis for biomedical lexical answer type prediction using ensemble learning approach.
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            NameFull: Hussain, Fiza Gulzar
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            NameFull: Wasim, Muhammad
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            NameFull: Cheema, Sehrish Munawar
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            NameFull: Pires, Ivan Miguel
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              M: 08
              Text: Aug2024
              Type: published
              Y: 2024
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              Value: 66
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