skip to main content
Guest
My Research
My Account
Sign out
Sign in
This feature requires javascript
Library Search
Find Databases
Browse Search
E-Journals A-Z
E-Books A-Z
Citation Linker
Help
Language:
English
Vietnamese
This feature required javascript
This feature requires javascript
Primo Search
All Library Resources
All
Course Materials
Course Materials
Search For:
Clear Search Box
Search in:
All Library Resources
Or select another collection:
Search in:
All Library Resources
Search in:
Print Resources
Search in:
Digital Resources
Search in:
Online E-Resources
Advanced Search
Browse Search
This feature requires javascript
Search Limited to:
Search Limited to:
Resource type
criteria input
All items
Books
Articles
Images
Audio Visual
Maps
Graduate theses
Show Results with:
criteria input
that contain my query words
with my exact phrase
starts with
Show Results with:
Search type Index
criteria input
anywhere in the record
in the title
as author/creator
in subject
Full Text
ISBN
ISSN
TOC
Keyword
Field
Show Results with:
in the title
Show Results with:
anywhere in the record
in the title
as author/creator
in subject
Full Text
ISBN
ISSN
TOC
Keyword
Field
This feature requires javascript
Representation Learning for Natural Language Processing
ISBN: 9811555729 ;ISBN: 9789811555725 ;EISBN: 9789811555732 ;EISBN: 9811555737 ;DOI: 10.1007/978-981-15-5573-2 ;OCLC: 1176494182
Full text available
View Online
Details
Recommendations
Reviews
External Links
This feature requires javascript
Actions
Add to My Research
Remove from My Research
E-mail
Print
Permalink
Citation
EasyBib
EndNote
RefWorks
Delicious
Export RIS
Export BibTeX
This feature requires javascript
Title:
Representation Learning for Natural Language Processing
Author:
Liu, Zhiyuan
;
Lin, Yankai
;
Sun, Maosong
Subjects:
Artificial intelligence
;
Big Data
;
Book Industry Communication
;
Computational linguistics
;
Computer science
;
Computing & information technology
;
Data mining
;
Data Mining and Knowledge Discovery
;
Deep Learning
;
Document Representation
;
Expert systems / knowledge-based systems
;
Knowledge Representation
;
Language
;
linguistics
;
Machine Learning
;
Natural
language
& machine translation
;
Natural
Language
Processing
;
Natural
language
processing (Computer science)
;
Natural
Language
Processing (NLP)
;
Open Access
;
Representation Learning
;
Word Representation
Description:
This open access 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.
Publisher:
Singapore: Springer Nature
Creation Date:
2020
Format:
334
Language:
English
Identifier:
ISBN: 9811555729
ISBN: 9789811555725
EISBN: 9789811555732
EISBN: 9811555737
DOI: 10.1007/978-981-15-5573-2
OCLC: 1176494182
Source:
OAPEN
DOAB: Directory of Open Access Books
This feature requires javascript
This feature requires javascript
Back to results list
This feature requires javascript
This feature requires javascript
Searching Remote Databases, Please Wait
Searching for
in
scope%3A(TDTS)%2Cscope%3A(SFX)%2Cscope%3A(TDT)%2Cscope%3A(SEN)%2Cprimo_central_multiple_fe
Show me what you have so far
This feature requires javascript
This feature requires javascript