Download free course Representation Learning for Natural Language Processing, pdf file on 349 pages by Zhiyuan Liu, Yankai Lin, Maosong Sun.
This open book provides an overview of the recent advances in representation learning theory, algorithms and applications for natural language processing (NLP). It is divided into three parts. Part I presents the representation learning techniques for multiple language entries, including words, phrases, sentences and documents. Part II then introduces the representation techniques for those objects that are closely related to NLP, including entity-based world knowledge, sememe-based linguistic knowledge, networks, and cross-modal entries. Lastly, Part III provides open resource tools for representation learning techniques, and discusses the remaining challenges and future research directions.The theories and algorithms of representation learning presented can also benefit other related domains such as machine learning, social network analysis, semantic Web, information retrieval, data mining and computational biology. This book is intended for advanced undergraduate and graduate students, post-doctoral fellows, researchers, lecturers, and industrial engineers, as well as anyone interested in representation learning and natural language processing.
Table of contents
Pages : | 349 |
Size : | 10.3 MB |
Downloads: | 34 |
Created: | 2022-02-03 |
License: | CC BY |
Author(s): | Zhiyuan Liu, Yankai Lin, Maosong Sun |
Others related eBooks about Representation Learning for Natural Language Processing
Download free C++ language tutorial course in PDF, training file in 146 chapters and 708 pages. Free unaffiliated ebook created from Stack OverFlow contributor.
Learn Programming in ADA, a complet PDF Tutorial by Wikibooks contributors.
Download free course Natural Language Processing Succinctly, pdf file on 93 pages by Joseph D. Booth.
Learning Go language, free PDF tutorial in 168 pages. Go is an ideal language to learn as your first programming language.
Download free course Writing Native Mobile Apps in a Functional Language Succinctly, pdf file on 129 pages by Vassili Kaplan.