An introduction to Deep Learning in Natural Language Processing: Models, techniques, and tools

Natural Language Processing (NLP) is a branch of artificial intelligence that involves the design and implementation of systems and algorithms able to interact through human language. Thanks to the recent advances of deep learning, NLP applications have received an unprecedented boost in performance. In this paper, we present a survey of the application of deep learning techniques in NLP, with a focus on the various tasks where deep learning is demonstrating stronger impact. Additionally, we explore, describe, and revise the main resources in NLP research, including software, hardware, and popular corpora. Finally, we emphasize the main limits of deep learning in NLP and current research directions. (c) 2021 Elsevier B.V. All rights reserved.

Automated summary

This paper surveys the application of deep learning techniques in Natural Language Processing (NLP), focusing on the significant impact of deep learning in various tasks. It also explores the main resources in NLP research and highlights the limitations and current research directions of deep learning in NLP.