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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.
| メディア | 書籍 Paperback Book (ソフトカバーで背表紙を接着した本) |
| リリース済み | 2021年12月3日 |
| ISBN13 | 9783031010552 |
| 出版社 | Springer International Publishing AG |
| ページ数 | 147 |
| 寸法 | 150 × 220 × 10 mm · 299 g |
| 言語 | 英語 |