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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Autores:

Tipo de recurso:

Book

Fecha de publicación:

2020

Institución:

Universidad de Bogotá Jorge Tadeo Lozano

Repositorio:

Expeditio: repositorio UTadeo

Idioma:

eng

OAI Identifier:

oai:expeditiorepositorio.utadeo.edu.co:20.500.12010/14320

Acceso en línea:

https://www.springer.com/gp/book/9789811555725#otherversion=9789811555732
http://hdl.handle.net/20.500.12010/14320
https://doi.org/10.1007/978-981-15-5573-2

Palabra clave:

Computer Science
Linguistics
Natural Language Processing (NLP)
Data Mining and knowledge discovery
Knowledge representation
Word representation
Machine learning
Expert systems -- knowledge -- based systems
Artificial intelligence
Deep learning
Natural language processing
Document representation
Natural language & machine translation
Computational linguistics
Open access
Data mining
Big Data

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