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Representation Learning for Natural Language Processing

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This book provides an overview of the recent advances in representation learning theory, algorithms, and applications for natural language processing (NLP), ranging from word embeddings to pre-trained language models. It is divided into four parts. Part I presents the representation learning techniq...

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Библиографические подробности
Другие авторы:	Liu, Zhiyuan (Редактор), Lin, Yankai (Редактор), Sun, Maosong (Редактор)
Формат:	Электронный ресурс Глава книги
Язык:	английский
Опубликовано:	Singapore Springer Nature 2023
Предметы:	Natural language & machine translation Computational linguistics Artificial intelligence Data mining Deep Learning Representation Learning Knowledge Representation Word Representation Document Representation Big Data Machine Learning Natural Language Processing Artificial Intelligence
Online-ссылка:	OAPEN Library: download the publication OAPEN Library: description of the publication
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