Deep Learning for Natural Language Processing
A Gentle Introduction
$84.12
- Paperback
344 pages
- Release Date
8 February 2024
Summary
Deep Learning is becoming increasingly important in a technology-dominated world. However, the building of computational models that accurately represent linguistic structures is complex, as it involves an in-depth knowledge of neural networks, and the understanding of advanced mathematical concepts such as calculus and statistics.
This book makes these complexities accessible to those from a humanities and social sciences background, by providing a clear introduction to deep learning…
Book Details
| ISBN-13: | 9781009012652 |
|---|---|
| ISBN-10: | 1009012657 |
| Author: | Mihai Surdeanu, Marco Antonio Valenzuela-Escárcega |
| Publisher: | Cambridge University Press |
| Imprint: | Cambridge University Press |
| Format: | Paperback |
| Number of Pages: | 344 |
| Release Date: | 8 February 2024 |
| Weight: | 500g |
| Dimensions: | 228mm x 151mm x 18mm |
What They're Saying
Critics Review
‘A wonderful introduction to natural language processing, emphasizing the machine learning fundamentals. The authors perfectly interleave theory with chapters giving practical implementations using PyTorch, and make it all seem easy, with a warm tone and clear and well-structured explanations. This book is a delight!’ Dan Jurafsky, Professor of Linguistics and Computer Science, Stanford University
‘Recommended to all readers interested in this area, especially upper-level undergraduate and graduate students, researchers, faculty, and professionals.’ C. Tappert, Choice
‘Who should read this? This is a book about Natural Language Processing (NLP), not computational linguistics (or any kind of linguistics)–that is, about engineering, not science, at least as linguists understand that term. So whether you should read this book depends on what you want to do with your career (or your free time). If you want to describe under-described languages with sparse textual data, this book may not for you, since deep learning methods require large amounts of data. But mostly the book is for those who want to learn how NLP is done currently, and it explains this well.’ Michael B. Maxwell, LINGUIST List
About The Author
Mihai Surdeanu
Mihai Surdeanu is Associate Professor in the Computer Science Department at the University of Arizona. He works in both academia and industry on NLP systems that process and extract meaning from natural language.
Marco Antonio Valenzuela-Escárcega is a Research Scientist in the Computer Science department at the University of Arizona. He has worked on natural language processing projects in both industry and academia.
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