An Application of RASA Technology to Design an AI Virtual Assistant: A Case of Learning Finance and Banking Terms in Vietnamese

• 발행기관: 한국유통과학회
• 저자명: Thi My Ni PHAM Thi Ngoc Thao PHAM Ha Phuong Truc NGUYEN Bao Tuyen LY Truc Linh NGUYEN Hoanh Su LE
• 간행물 정보: 『The Journal of Asian Finance, Economics and Business(JAFEB)』The Journal of Asian Finance, Economics, and Business Vol. 9 No.5, 273~283쪽, 전체 11쪽
• 주제분류: 경제경영 > 경제학
• 파일형태: PDF
• 발행일자: 2022.05.30

영문 초록

Banking and finance is a broad term that incorporates a variety of smaller, more specialized subjects such as corporate finance, tax finance, and insurance finance. A virtual assistant that assists users in searching for information about banking and finance terms might be an extremely beneficial tool for users. In this study, we explored the process of searching for information, seeking opportunities, and developing a virtual assistant in the first stages of starting learning and understanding Vietnamese to increase effectiveness and save time, which is also an innovative business practice in Use-case Vietnam. We built the FIBA2020 dataset and proposed a pipeline that used Natural Language Processing (NLP) inclusive of Natural Language Understanding (NLU) algorithms to build chatbot applications. The open-source framework RASA is used to implement the system in our study. We aim to improve our model performance by replacing parts of RASA’s default tokenizers with Vietnamese tokenizers and experimenting with various language models. The best accuracy we achieved is 86.48% and 70.04% in the ideal condition and worst condition, respectively. Finally, we put our findings into practice by creating an Android virtual assistant application using the model trained using Whitespace tokenizer and the pre-trained language m-BERT.

목차

1. Introduction

2. Research Background and Related Works

3. Methodology

4. Model Evaluation

5. Developing Virtual Assistant Application

6. Conclusion

References

키워드

Virtual Assistant Natural Language Processing Vietnamese Natural Language Understanding Finance and Banking Smart Classroom