Representation Learning for Natural Language Processing

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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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
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