Representation Learning for Natural Language Processing

Name: Representation Learning for Natural Language Processing
Brand: Springer Verlag, Singapore
SKU: 9789811555756
Price: 42.34 EUR
Availability: InStock

Автор: Maosong Sun, Yankai Lin

Език:

Корици: С меки корици

Издател: Springer Verlag, Singapore

Наличност: Външен склад

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42.34 € 82.81 лв

This open access book provides an overview of the recent advances in representation learning theory,...

Информация за книгата

Автор

Maosong Sun, Yankai Lin

Език

Английски език

Корици

Книга - С меки корици

Издадена

2020

страници

334

EAN

9789811555756

ISBN

9811555753

Enbook ID

33235737

Издател

Springer Verlag, Singapore

Теглоt

551

Размери

155 x 235 x 20

Пълно описание

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 words, phrases, sentences and documents. Part II then introduces the representation techniques for those objects that are closely related to NLP, including entity-based world knowledge, sememe-based linguistic knowledge, networks, and cross-modal entries. Lastly, Part III provides open resource tools for representation learning techniques, and discusses the remaining challenges and future research directions.The theories and algorithms of representation learning presented can also benefit other related domains such as machine learning, social network analysis, semantic Web, information retrieval, data mining and computational biology. This book is intended for advanced undergraduate and graduate students, post-doctoral fellows, researchers, lecturers, and industrial engineers, as well as anyone interested in representation learning and natural language processing.

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Representation Learning for Natural Language Processing

Информация за книгата

Пълно описание

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