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Representation Learning for Natural Language Processing

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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 word...

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Bibliographic Details
Main Authors: Liu, Zhiyuan (Author), Lin, Yankai (Author), Sun, Maosong (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Singapore : Springer Nature Singapore : Imprint: Springer, 2020.
Edition:1st ed. 2020.
Subjects:
Natural language processing (Computer science).
Computational linguistics.
Artificial intelligence.
Data mining.
Natural Language Processing (NLP).
Computational Linguistics.
Artificial Intelligence.
Data Mining and Knowledge Discovery.
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Table of Contents:
  • 1. Representation Learning and NLP
  • 2. Word Representation
  • 3. Compositional Semantics
  • 4. Sentence Representation
  • 5. Document Representation
  • 6. Sememe Knowledge Representation
  • 7. World Knowledge Representation
  • 8. Network Representation
  • 9. Cross-Modal Representation
  • 10. Resources
  • 11. Outlook.

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