Representation Learning for Natural Language Processing

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 (author), Lin, Yankai. author, Sun, Maosong. author
Format:	eBook
Language:	Inglés
Published:	Singapore : Springer Nature Singapore 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.
See on Biblioteca Universitat Ramon Llull:	https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009434650306719

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.

Representation Learning for Natural Language Processing

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