Validity, reliability, and significance: empirical methods for NLP and data science

Empirical methods are means to answering methodological questions of empirical sciences by statistical techniques. The methodological questions addressed in this book include the problems of validity, reliability, and significance. In the case of machine learning, these correspond to the questions o...

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Bibliographic Details
Main Authors: Riezler, Stefan (Author) , Hagmann, Michael (Author)
Format: Book/Monograph
Language:English
Published: San Rafael, CA Morgan & Claypool Publishers [2022]
Series:Synthesis lectures on human language technologies #55
In: Synthesis lectures on human language technologies (#55)

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Author Notes:Stefan Riezler, Michael Hagmann
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Validity, reliability, and significance: empirical methods for NLP and data science by Riezler, Stefan (Author) , Hagmann, Michael (Author) ,

Springer Nature Switzerland 2024 Imprint: Springer 2024

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Validity, reliability, and significance: empirical methods for NLP and data science by Riezler, Stefan (Author) , Hagmann, Michael (Author) ,

Springer [2024]

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