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An introduction to Deep Learning in Natural Language Processing:Models,techniques,and tools - 2022

Research Area:  Machine Learning


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.

Author(s) Name:  Ivano Lauriola, Alberto Lavelli, Fabio Aiolli

Journal name:  Neurocomputing

Conferrence name:  

Publisher name:  Elsevier

DOI:  10.1016/j.neucom.2021.05.103

Volume Information:  Volume 470, 22 January 2022, Pages 443-456