Abstract
This paper presents a method for building a real estate chatbot automatically to support customers in Vietnamese. The chatbot is trained with data set collected on Facebook groups and from the famous real estate website in Vietnam. Using Logistic Regression, user’s intent recognition task achieves precision = 0.93, recall = 0.87 and F1-score = 0.89, while the automatic entity labeling achieves 83% accuracy thanks to the development of a real estate knowledge base. Besides, we report our experience on the design of dialog management modules.
T.-D. Cao and Q. H. Nguyen—Contributed equally to the work.
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Acknowledgements
We wish to thank Hai Nguyen for his valuable assistance in the technical implementation of the system. We would like to thank reviewers for their insightful comments on the paper, which have improved our manuscript substantially.
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Cao, TD., Nguyen, Q.H. (2021). An Approach for Building Effective Real Estate Chatbots in Vietnamese. In: Kreinovich, V., Hoang Phuong, N. (eds) Soft Computing for Biomedical Applications and Related Topics. Studies in Computational Intelligence, vol 899. Springer, Cham. https://doi.org/10.1007/978-3-030-49536-7_19
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