Validity, reliability, and significance: empirical methods for nlp and data science
Auteur :
Riezler, Stefan / Hagmann, Michael
Éditeur :
Springer International Publishing AG
ISBN :
9783031570643
Date de publication :
10 juin 2024
Dimensions :
24,0 x 16,8 cm
Langue :
Anglais
Pays d'origine :
Suisse
The book focuses on model-based empirical methods where data annotations and model predictions are treated as training data for interpretable probabilistic models from the well-understood families of generalized additive models (GAMs) and linear mixed effects models (LMEMs).