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Semantic Scholar Open Access 2021 554 sitasi

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

Ivano Lauriola A. Lavelli F. Aiolli
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Abstrak

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 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.

Topik & Kata Kunci

Computer Science

Penulis (3)

I

Ivano Lauriola

A

A. Lavelli

F

F. Aiolli

Format Sitasi

APA MLA BibTeX
Lauriola, I., Lavelli, A., Aiolli, F. (2021). An introduction to Deep Learning in Natural Language Processing: Models, techniques, and tools. https://doi.org/10.1016/j.neucom.2021.05.103

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Lihat di Sumber doi.org/10.1016/j.neucom.2021.05.103
Informasi Jurnal
Tahun Terbit
2021
Bahasa
en
Total Sitasi
554×
Sumber Database
Semantic Scholar
DOI
10.1016/j.neucom.2021.05.103
Akses
Open Access ✓