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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Detalles Bibliográficos
Autores principales:	Liu, Zhiyuan. author (author), Lin, Yankai. author, Sun, Maosong. author
Formato:	Libro electrónico
Idioma:	Inglés
Publicado:	Singapore : Springer Nature Singapore 2020.
Edición:	1st ed. 2020.
Materias:	Natural language processing (Computer science). Computational linguistics. Artificial intelligence. Data mining. Natural Language Processing (NLP). Computational Linguistics. Artificial Intelligence. Data Mining and Knowledge Discovery.
Ver en Biblioteca Universitat Ramon Llull:	https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009434650306719

Tabla de Contenidos:

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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