Development of dialogue system based on deep learning

Linxiang Jin; Kaiyue Li; Rui Tang; Jinshan Zhou

doi:10.1117/12.2630886

7 March 2022 Development of dialogue system based on deep learning

Linxiang Jin, Kaiyue Li, Rui Tang, Jinshan Zhou

Proceedings Volume 12167, Third International Conference on Electronics and Communication; Network and Computer Technology (ECNCT 2021); 1216738 (2022) https://doi.org/10.1117/12.2630886
Event: 2021 Third International Conference on Electronics and Communication, Network and Computer Technology, 2021, Harbin, China

Abstract

Firstly, deep learning has been successful in many fields in recent years. As a core application in natural language processing, dialogue system has gradually developed from traditional machine learning to deep learning. Secondly, the development of dialogue systems is briefly summarized, and then the typical dialogue systems based on deep learning are introduced in detail. In addition, we also introduce two developer-oriented dialogue system development platforms, including PyOpenDial and DeepPavlov. Finally, we discuss the development prospects and challenges of the dialogue system, including robustness, personalized, and startup problem. We believe that this review can help researchers better understand the development status in this field.

Citation Download Citation

Linxiang Jin, Kaiyue Li, Rui Tang, and Jinshan Zhou "Development of dialogue system based on deep learning", Proc. SPIE 12167, Third International Conference on Electronics and Communication; Network and Computer Technology (ECNCT 2021), 1216738 (7 March 2022); https://doi.org/10.1117/12.2630886

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