
FreeComputerBooks.com
Links to Free Computer, Mathematics, Technical Books all over the World
|
|
- Title: Representation Learning for Natural Language Processing
- Author(s) Zhiyuan Liu, Yankai Lin, Maosong Sun
- Publisher: Springer; 2nd ed. 2023 edition (August 24, 2023); eBook (Creative Commons Licensed)
- License(s): Creative Commons License (CC)
- Paperback: 541 pages
- eBook: PDF and ePub
- Language: English
- ISBN-10: 9819915996
- ISBN-13: 978-9819915996
- Share This:
![]() |
This book provides an overview of the recent advances in representation learning theory, algorithms, and applications for natural language processing (NLP), ranging from word embeddings to pre-trained language models.
About the Authors- Zhiyuan Liu is an Associate Professor at the Department of Computer Science and Technology at Tsinghua University, China.
- Natural Language Processing (NLP)
- Computational Linguistics
- Machine Learning
- Information Retrieval (IR) and Search Engines Design/Implementation

- Representation Learning for Natural Language Processing (Zhiyuan Liu, et al.)
- The Mirror Site (1) - PDF
-
Foundations of Large Language Models (Tong Xiao, et al.)
This is a book about Large Language Models (LLM). It primarily focuses on foundational concepts rather than comprehensive coverage of all cutting-edge technologies: pre-training, generative models, prompting techniques, and alignment methods.
-
Foundation Models for Natural Language Processing
This open access book provides a comprehensive overview of the state of the art in research and applications of Foundation Models and is intended for readers familiar with basic Natural Language Processing (NLP) concepts.
-
Speech and Language Processing (Dan Jurafsky, et al)
This text takes an empirical approach to the subject, based on applying statistical and other machine-learning algorithms to large corporations. It describes a unified vision of speech and language processing. Emphasis is on practical and scientific applications.
-
Advancing Natural Language Processing in Educational Assessment
This book examines the use of natural language technology in educational testing, measurement, and assessment, provides evidence-based practices for the use of NLP-based approaches to automated text and speech scoring and beyond.
-
Advancing Natural Language Processing in Educational Assessment
This book examines the use of natural language technology in educational testing, measurement, and assessment, provides evidence-based practices for the use of NLP-based approaches to automated text and speech scoring and beyond.
-
O'Reilly® Natural Language Processing with Python
This book offers a highly accessible introduction to natural language processing (NLP), the field that supports a variety of language technologies, from predictive text and email filtering to automatic summarization and translation.
-
Natural Language Processing Succinctly (Joseph Booth)
This book will guide readers through designing a simple system that can interpret and provide reasonable responses to written English text. With this foundation, readers will be prepared to tackle the greater challenges of natural language development.
-
Natural Language Processing for the Working Programmer
This book is a guide to the wonderful world of language processing for the practical working programmer, using Haskell. It is about that type of information - techniques that so-called computational linguists use to analyze the structure of human language.
:
|
|
![]() |
|
![]() |
|
![]() |
|
![]() |
|
![]() |
|
![]() |
|
![]() |
|
![]() |
|
![]() |
|
![]() |
|
![]() |
|
![]() |
|
![]() |
|
![]() |
|
![]() |
|
![]() |
|
![]() |