Representation Learning for Natural Language Processing / / by Zhiyuan Liu, Yankai Lin, Maosong Sun.
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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| Place / Publishing House: | Singapore : : Springer Nature Singapore :, Imprint: Springer,, 2020. |
| Year of Publication: | 2020 |
| Edition: | 1st ed. 2020. |
| Language: | English |
| Physical Description: | 1 online resource (XXIV, 334 p. 131 illus., 99 illus. in color.) |
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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.