Tell your friends about this item:
Validity, Reliability, and Significance: Empirical Methods for NLP and Data Science - Synthesis Lectures on Human Language Technologies Stefan Riezler
Validity, Reliability, and Significance: Empirical Methods for NLP and Data Science - Synthesis Lectures on Human Language Technologies
Stefan Riezler
Our focus is 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).
147 pages, XVII, 147 p.
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | December 3, 2021 |
| ISBN13 | 9783031010552 |
| Publishers | Springer International Publishing AG |
| Pages | 147 |
| Dimensions | 150 × 220 × 10 mm · 299 g |
| Language | English |