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Neural Data-to-Text Generation Based on Small Datasets: Comparing the Added Value of Two Semi-Supervised Learning Approaches on Top of a Large Language Model.

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Title: Neural Data-to-Text Generation Based on Small Datasets: Comparing the Added Value of Two Semi-Supervised Learning Approaches on Top of a Large Language Model.
Authors: van der Lee, Chris1, c.vdrlee@uvt.nl, Ferreira, Thiago Castro2, thiagocf05@ufmg.br, Emmery, Chris3, c.d.emmery@uvt.nl, Wiltshire, Travis J.3, t.j.wiltshire@uvt.nl, Krahmer, Emiel1, e.j.krahmer@uvt.nl
Source: Computational Linguistics; Sep2023, Vol. 49 Issue 3, p555-611, 57p
Database: Applied Science & Technology Source
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  Data: Neural Data-to-Text Generation Based on Small Datasets: Comparing the Added Value of Two Semi-Supervised Learning Approaches on Top of a Large Language Model.
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      – Type: doi
        Value: 10.1162/coli_a_00484
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      – Code: eng
        Text: English
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        PageCount: 57
        StartPage: 555
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      – TitleFull: Neural Data-to-Text Generation Based on Small Datasets: Comparing the Added Value of Two Semi-Supervised Learning Approaches on Top of a Large Language Model.
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            NameFull: van der Lee, Chris
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            NameFull: Ferreira, Thiago Castro
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            – D: 01
              M: 09
              Text: Sep2023
              Type: published
              Y: 2023
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              Value: 49
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