Representation Learning for Natural Language Processing is popular PDF and ePub book, written by Zhiyuan Liu in 2020-07-03, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Representation Learning for Natural Language Processing can be Read Online from any device for your convenience.

Representation Learning for Natural Language Processing Book PDF Summary

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.

Detail Book of Representation Learning for Natural Language Processing PDF

Representation Learning for Natural Language Processing
  • Author : Zhiyuan Liu
  • Release : 03 July 2020
  • Publisher : Springer Nature
  • ISBN : 9789811555732
  • Genre : Computers
  • Total Page : 319 pages
  • Language : English
  • PDF File Size : 17,7 Mb

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