{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/developing-a-chatbot-system-using-deep","title":"Developing a Chatbot system using Deep Learning based for Universities consultancy","arxiv_id":null,"date":"2022-02-28","proceeding":"International Conference on Ubiquitous Information Management and Communication (IMCOM) 2022 2","authors":["Le-Tien Thuong","Nguyen-DP Tai","Huynh-Y Vy"],"abstract":"Inspired by the recent successes of Deep Learning on Natural Language Processing (NLP), we propose a chatbot system using Deep Learning for Vietnamese Universities consultancy which can be implemented for any university. The system has three important tasks: User’s Intent Recognition, Dialogue Management, and Reply Channels. For the User’s Intent Recognition task, the Pattern Matching method is combined with the Text Classification model using Bidirectional-LSTM which has the Attention mechanism. Besides, we use the Deep Reinforcement Learning architecture to train an Agent for Dialogue Management task. In this paper, we conduct a Proof of Concept to the Ho Chi Minh City University of Technology (HCMUT). The experimental results achieve an average 89% F1-score of 3 classes of the Text Classification task using Deep Learning, the evaluation result of Dialogue Management that the rate of success achieves by 86%. Our demo version of a production web application is available at https://hcmutbot.herokuapp.com/.","url_abs":"https://ieeexplore.ieee.org/abstract/document/9721735","url_pdf":"https://ieeexplore.ieee.org/abstract/document/9721735","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"developing-a-chatbot-system-using-deep","repo_url":"https://github.com/taindp98/Vietnamese-Chatbot","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"chatbot","task_name":"Chatbot"},{"task_slug":"deep-learning","task_name":"Deep Learning"},{"task_slug":"deep-reinforcement-learning","task_name":"Deep Reinforcement Learning"},{"task_slug":"dialogue-management","task_name":"Dialogue Management"},{"task_slug":"intent-recognition","task_name":"Intent Recognition"},{"task_slug":"management","task_name":"Management"},{"task_slug":"text-classification","task_name":"Text Classification"},{"task_slug":"text-classification-1","task_name":"text-classification"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}