Neural networks are a family of powerful machine learning models and this book focuses on their application to natural language data. The first half of the book

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

This book is a collection of chapters describing work carried out as part of a large project at BT Laboratories to study the application of connectionist method

This textbook explains Deep Learning Architecture, with applications to various NLP Tasks, including Document Classification, Machine Translation, Language Mode

In recent years, deep learning has fundamentally changed the landscapes of a number of areas in artificial intelligence, including speech, vision, natural langu