Representation learning for natural language processing

Representation learning for natural language processing / Zhiyuan Liu, Yankai Lin, Maosong Sun, editors.

This book provides an overview of the recent advances in representation learning theory, algorithms, and applications for natural language processing (NLP), ranging from word embeddings to pre-trained language models. It is divided into four parts. Part I presents the representation learning techniq...

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Bibliographic Details
Other Authors: Liu, Zhiyuan, 1984- (Editor), Lin, Yankai (Editor), Sun, Maosong (Editor)
Format: eBook
Language:English
Published: Singapore : Springer, [2023]
Edition:Second edition.
Subjects:
Natural language processing (Computer science)
Realization (Linguistics)
Online Access:Click for online access
Table of Contents:
  • Chapter 1. Representation Learning and NLP
  • Chapter 2. Word Representation
  • Chapter 3. Compositional Semantics
  • Chapter 4. Sentence Representation
  • Chapter 5. Document Representation
  • Chapter 6. Sememe Knowledge Representation
  • Chapter 7. World Knowledge Representation
  • Chapter 8. Network Representation
  • Chapter 9. Cross-Modal Representation
  • Chapter 10. Resources
  • Chapter 11. Outlook.

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