Validity, Reliability, and Significance: Empirical Methods for NLP andData Science

Richard  Futrell

Abstract

Book Review: Validity, Reliability, and Significance: Empirical Methods for NLP and Data Science

Stefan Riezler and Michael Hagmann (Heidelberg University)

Morgan & Claypool Publishers (Synthesis Lectures on Human Language Technologies, edited by Graeme Hirst, volume 55), 2022, 147 pp; hardcover, 9781636392738; paperback, 9781636392714; ebook, 9781636392721;
doi:10.2200/S01137ED1V01Y202110HLT055

Reviewed by
Richard Futrell
University of California, Irvine

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Validity, Reliability, and Significance: Empirical Methods for NLP andData Science

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