This book offers an introduction to modern natural language processing using machine learning, focusing on how neural networks create a machine interpretable re

This open access book provides an overview of the recent advances in representation learning theory, algorithms and applications for natural language processing

Neural networks are a family of powerful machine learning models. This book focuses on the application of neural network models to natural language data. The fi

Embeddings have undoubtedly been one of the most influential research areas in Natural Language Processing (NLP). Encoding information into a low-dimensional ve

Deep Learning models are at the core of artificial intelligence research today. It is well known that deep learning techniques are disruptive for Euclidean data