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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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Bibliografski detalji
Daljnji autori: Liu, Zhiyuan (Urednik), Lin, Yankai (Urednik), Sun, Maosong (Urednik)
Format: Elektronički Poglavlje knjige
Jezik:engleski
Izdano: Singapore Springer Nature 2023
Teme:
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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