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Repairing the Cracked Foundation: A Survey of Obstacles in Evaluation Practices for Generated Text.

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Title: Repairing the Cracked Foundation: A Survey of Obstacles in Evaluation Practices for Generated Text.
Authors: Gehrmann, Sebastian1 S.GEHRMANN@OUTLOOK.COM, Clark, Elizabeth1 EACLARK@GOOGLE.COM, Sellam, Thibault1 TSELLAM@GOOGLE.COM
Source: Journal of Artificial Intelligence Research. 2023, Vol. 77, p103-166. 64p.
Database: Mathematics Source
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DbLabel: Mathematics Source
An: 173083465
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Repairing the Cracked Foundation: A Survey of Obstacles in Evaluation Practices for Generated Text.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Artificial+Intelligence+Research%22">Journal of Artificial Intelligence Research</searchLink>. 2023, Vol. 77, p103-166. 64p.
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      – Type: doi
        Value: 10.1613/jair.1.13715
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 64
        StartPage: 103
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      – TitleFull: Repairing the Cracked Foundation: A Survey of Obstacles in Evaluation Practices for Generated Text.
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            NameFull: Gehrmann, Sebastian
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            NameFull: Clark, Elizabeth
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            NameFull: Sellam, Thibault
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              Text: 2023
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              Y: 2023
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              Value: 77
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            – TitleFull: Journal of Artificial Intelligence Research
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