Natural Language Processing (NLP) helps empower intelligent machines by enhancing a
better understanding of the human language for linguistic-based human-computer …

Deep learning methods employ multiple processing layers to learn hierarchical
representations of data, and have produced state-of-the-art results in many domains …

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

Abstract Natural Language Processing (NLP) is a branch of artificial intelligence that
involves the design and implementation of systems and algorithms able to interact through …

With the widespread adoption of deep learning, natural language processing (NLP), and
speech applications in various domains such as finance, healthcare, and government and …

In this chapter, we set up the fundamental framework for the book. We first provide an
introduction to the basics of natural language processing (NLP) as an integral part of …

Over the last several years, the field of natural language processing has been propelled
forward by an explosion in the use of deep learning models. This article provides a brief …

In this paper, we present a Multi-Task Deep Neural Network (MT-DNN) for learning
representations across multiple natural language understanding (NLU) tasks. MT-DNN not …

In the NLP community, recent years have seen a surge of research activities that address
machines' ability to perform deep language understanding which goes beyond what is …

Real-world Natural Language Processing shows you how to build the practical NLP
applications that are transforming the way humans and computers work together. In Real …