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Computer Sciences & Mathematics Forum
Volume 6
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10.3390/cmsf2023006003
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Proceeding Paper

Developing Conversational Agent Using Deep Learning Techniques †

by
Charaf Ouaddi
1,*,
Lamya Benaddi
1,*,
Ismaïl Khriss
2,* and
Abdeslam Jakimi
1,*
1
Software Engineering & Information Systems Engineering (GL-ISI) Team, Faculty of Sciences and Techniques of Errachidia (FSTE), University of Moulay Ismail (UMI), Meknes 50050, Morocco
2
Département de Mathématique, Informatique et Génie, Université du Québec à Rimouski, Rimouski, QC G5L 3A1, Canada
*
Authors to whom correspondence should be addressed.
†
Presented at the 3rd International Day on Computer Science and Applied Mathematics, Errachidia, Morocco, 13 May 2023.
Comput. Sci. Math. Forum 2023, 6(1), 3; https://doi.org/10.3390/cmsf2023006003
Published: 30 May 2023
(This article belongs to the Proceedings of The 3rd International Day on Computer Science and Applied Mathematics)
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Abstract

Recent advances in artificial intelligence and natural language processing have been widely used in recent years, and one of the best applications of these technologies is conversational agents. These agents are computer programs that can converse with users in natural languages. Developing conversational agents using artificial intelligence techniques is an exciting prospect in natural language processing. In this study, we built an intelligent conversational agent using deep learning techniques. We used a sequence-to-sequence model with encoder–decoder architecture. This encoder–decoder uses a recurrent neural network with long–short-term memory cells. The encoder was used to understand the user’s question, and the decoder was to provide the answer.
Keywords: conversational agents; deep learning; recurrent neural networks; long–short-term memory; sequence to sequence; natural language processing conversational agents; deep learning; recurrent neural networks; long–short-term memory; sequence to sequence; natural language processing

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MDPI and ACS Style

Ouaddi, C.; Benaddi, L.; Khriss, I.; Jakimi, A. Developing Conversational Agent Using Deep Learning Techniques. Comput. Sci. Math. Forum 2023, 6, 3. https://doi.org/10.3390/cmsf2023006003

AMA Style

Ouaddi C, Benaddi L, Khriss I, Jakimi A. Developing Conversational Agent Using Deep Learning Techniques. Computer Sciences & Mathematics Forum. 2023; 6(1):3. https://doi.org/10.3390/cmsf2023006003

Chicago/Turabian Style

Ouaddi, Charaf, Lamya Benaddi, Ismaïl Khriss, and Abdeslam Jakimi. 2023. "Developing Conversational Agent Using Deep Learning Techniques" Computer Sciences & Mathematics Forum 6, no. 1: 3. https://doi.org/10.3390/cmsf2023006003

APA Style

Ouaddi, C., Benaddi, L., Khriss, I., & Jakimi, A. (2023). Developing Conversational Agent Using Deep Learning Techniques. Computer Sciences & Mathematics Forum, 6(1), 3. https://doi.org/10.3390/cmsf2023006003

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