Representation Learning for Natural Language Processing

Representation Learning for Natural Language Processing

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 word...

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Opis bibliograficzny
1. autor: Liu, Zhiyuan (auth)
Kolejni autorzy: Lin, Yankai (auth), Sun, Maosong (auth)
Format: Rozdział
Wydane: Springer Nature 2020
Hasła przedmiotowe:
Natural language & machine translation
Computational linguistics
Artificial intelligence
Data mining
Natural Language Processing (NLP)
Computational Linguistics
Artificial Intelligence
Data Mining and Knowledge Discovery
Open Access
Deep Learning
Representation Learning
Knowledge Representation
Word Representation
Document Representation
Big Data
Machine Learning
Natural Language Processing
Expert systems / knowledge-based systems
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