Download Validity, Reliability, and Significance: Empirical Methods for NLP and Data Science (Synthesis Lectures on Human Language Technologies) PDF Free - Full Version
Download Validity, Reliability, and Significance: Empirical Methods for NLP and Data Science (Synthesis Lectures on Human Language Technologies) by Stefan Riezler in PDF format completely FREE. No registration required, no payment needed. Get instant access to this valuable resource on PDFdrive.to!
About Validity, Reliability, and Significance: Empirical Methods for NLP and Data Science (Synthesis Lectures on Human Language Technologies)
Empirical methods are means to answering methodological questions of empirical sciences by statistical techniques. The methodological questions addressed in this book include the problems of validity, reliability, and significance. In the case of machine learning, these correspond to the questions of whether a model predicts what it purports to predict, whether a model’s performance is consistent across replications, and whether a performance difference between two models is due to chance, respectively. The goal of this book is to answer these questions by concrete statistical tests that can be applied to assess validity, reliability, and significance of data annotation and machine learning prediction in the fields of NLP and data science. 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). Based on the interpretable parameters of the trained GAMs or LMEMs, the book presents model-based statistical tests such as a validity test that allows detecting circular features that circumvent learning. Furthermore, the book discusses a reliability coefficient using variance decomposition based on random effect parameters of LMEMs. Last, a significance test based on the likelihood ratio of nested LMEMs trained on the performance scores of two machine learning models is shown to naturally allow the inclusion of variations in meta-parameter settings into hypothesis testing, and further facilitates a refined system comparison conditional on properties of input data. This book can be used as an introduction to empirical methods for machine learning in general, with a special focus on applications in NLP and data science. The book is self-contained, with an appendix on the mathematical background on GAMs and LMEMs, and with an accompanying webpage including R code to replicate experiments presented in the book.
Detailed Information
| Author: | Stefan Riezler |
|---|---|
| Publication Year: | 2022 |
| ISBN: | 9783031021831 |
| Language: | English |
| File Size: | 17 |
| Format: | |
| Price: | FREE |
Safe & Secure Download - No registration required
Why Choose PDFdrive for Your Free Validity, Reliability, and Significance: Empirical Methods for NLP and Data Science (Synthesis Lectures on Human Language Technologies) Download?
- 100% Free: No hidden fees or subscriptions required for one book every day.
- No Registration: Immediate access is available without creating accounts for one book every day.
- Safe and Secure: Clean downloads without malware or viruses
- Multiple Formats: PDF, MOBI, Mpub,... optimized for all devices
- Educational Resource: Supporting knowledge sharing and learning
Frequently Asked Questions
Is it really free to download Validity, Reliability, and Significance: Empirical Methods for NLP and Data Science (Synthesis Lectures on Human Language Technologies) PDF?
Yes, on https://PDFdrive.to you can download Validity, Reliability, and Significance: Empirical Methods for NLP and Data Science (Synthesis Lectures on Human Language Technologies) by Stefan Riezler completely free. We don't require any payment, subscription, or registration to access this PDF file. For 3 books every day.
How can I read Validity, Reliability, and Significance: Empirical Methods for NLP and Data Science (Synthesis Lectures on Human Language Technologies) on my mobile device?
After downloading Validity, Reliability, and Significance: Empirical Methods for NLP and Data Science (Synthesis Lectures on Human Language Technologies) PDF, you can open it with any PDF reader app on your phone or tablet. We recommend using Adobe Acrobat Reader, Apple Books, or Google Play Books for the best reading experience.
Is this the full version of Validity, Reliability, and Significance: Empirical Methods for NLP and Data Science (Synthesis Lectures on Human Language Technologies)?
Yes, this is the complete PDF version of Validity, Reliability, and Significance: Empirical Methods for NLP and Data Science (Synthesis Lectures on Human Language Technologies) by Stefan Riezler. You will be able to read the entire content as in the printed version without missing any pages.
Is it legal to download Validity, Reliability, and Significance: Empirical Methods for NLP and Data Science (Synthesis Lectures on Human Language Technologies) PDF for free?
https://PDFdrive.to provides links to free educational resources available online. We do not store any files on our servers. Please be aware of copyright laws in your country before downloading.
The materials shared are intended for research, educational, and personal use in accordance with fair use principles.
