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

Richard Futrell


Anthology ID:
2023.cl-1.7
Volume:
Computational Linguistics, Volume 49, Issue 1 - March 2023
Month:
March
Year:
2023
Address:
Cambridge, MA
Venue:
CL
SIG:
Publisher:
MIT Press
Note:
Pages:
249–251
Language:
URL:
https://aclanthology.org/2023.cl-1.7
DOI:
10.1162/coli_r_00467
Bibkey:
Cite (ACL):
Richard Futrell. 2023. Validity, Reliability, and Significance: Empirical Methods for NLP and Data Science. Computational Linguistics, 49(1):249–251.
Cite (Informal):
Validity, Reliability, and Significance: Empirical Methods for NLP and Data Science (Futrell, CL 2023)
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PDF:
https://aclanthology.org/2023.cl-1.7.pdf