Representation Learning for Natural Language Processing

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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Bibliographic Details
Other Authors:	Liu, Zhiyuan (Editor), Lin, Yankai (Editor), Sun, Maosong (Editor)
Format:	Electronic Book Chapter
Language:	English
Published:	Singapore Springer Nature 2023
Subjects:	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 Access:	DOAB: download the publication DOAB: description of the publication
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