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 NLP. It also benefit related domains such as machine learning, social network analysis, semantic Web, information retrieval, data mining and computational biology.

# Topic Modeling # Computer Science # Advanced Graph Neural Networks # Natural Language Processing Techniques

Zhiyuan Liu, Yankai Lin, Maosong Sun (2020). "Representation Learning for Natural Language Processing". Springer eBooks. https://doi.org/10.1007/978-981-15-5573-2