Hostname: page-component-78c5997874-lj6df Total loading time: 0 Render date: 2024-11-19T15:14:13.567Z Has data issue: false hasContentIssue false
  • English
  • Français

Deep Learning in Natural Language Processing, edited by Li Deng and Yang Liu. Singapore: Springer, 2018. ISBN 9789811052088. XVII + 329 pages

Published online by Cambridge University Press:  08 November 2019

Haoda Feng Open the ORCID record for Haoda Feng [Opens in a new window]  and
Feng Shi
Haoda Feng*
Affiliation:
School of Foreign Languages Bohai University 19 Keji Road, Songshan District Jinzhou, Liaoning Province, P. R. China
Feng Shi
Affiliation:
School of Foreign Languages University of Science and Technology Liaoning 185 Qianshanzhong Road, Lishan District Anshan, Liaoning Province, P. R. China Email: [email protected]
*
Corresponding author. Email: [email protected]
Get access Rights & Permissions [Opens in a new window]

Abstract

An abstract is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content.
Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
Book Review
Information
Natural Language Engineering , Volume 27 , Issue 3 , May 2021 , pp. 373 - 375
Check for updates
Copyright
© Cambridge University Press 2019

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Goldberg, Y. (2017). Neural Network Methods for Natural Language Processing. San Rafael, CA: Morgan & Claypool Publishers.CrossRefGoogle Scholar
Lane, H., Howard, C. and Hapke, H. M. (2018). Natural Language Processing in Action: Understanding, Analysing, and Generating Text with Python. New York, US: Manning Publications.Google Scholar