Modern chatbot systems: a technical review

Abbas Saliimi, Lokman and M. A., Ameedeen (2019) Modern chatbot systems: a technical review. In: Proceedings of the Future Technologies Conference (FTC) 2018. Advances in Intelligent Systems and Computing, 2 . Springer Nature Switzerland, Switzerland, pp. 1012-1023. ISBN 978-3-030-02683-7

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Chatbot (abbreviated Chatting Robot) is a computer sys- tem that allows human to interact with computer using Natural Human Language. This paper intents to present a technical review of ve mod- ern chatbot systems namely DeepProbe (July, 2017), Alime (August, 2017), SuperAgent (August, 2017), MILABOT (November, 2017) and RubyStar (December, 2017). Review elements are architectural design and domain/case study implementation with performance evaluation. Architectural design review will cover topic surrounding chatbot's knowl- edge domain, response generation, text processing and machine learning model, while implementation review will cover dataset usage (mainly to- wards machine learning model training) and evaluation strategy towards analyzing the quality level of chatbot's response. A summarize table of all reviewed elements is shown at the end of this paper together with discussion on our insight regarding reviewed elements. This paper will concludes with our review on future roadmap for modern chatbot design.

Item Type: Book Chapter
Additional Information: Indexed by Springer.
Uncontrolled Keywords: Chatbot system; Machine learning; Word embedding
Subjects: Q Science > QA Mathematics > QA76 Computer software
Faculty/Division: Faculty of Computer System And Software Engineering
Depositing User: Pn. Hazlinda Abd Rahman
Date Deposited: 07 Dec 2018 09:09
Last Modified: 24 Feb 2021 01:59
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