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 …
L Deng, Y Liu - Deep learning in natural language processing, 2018 - Springer
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 …
DW Otter, JR Medina, JK Kalita - IEEE transactions on neural …, 2020 - ieeexplore.ieee.org
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 …