FU Covid-19 AI Agent built on Attention algorithm using a combination of Transformer, ALBERT model, and RASA framework

ABSTRACT

Potentialized by Natural Language Processing (NLP) technology, we can build a chatbot or an AI Agent to automatically address the need to automatically get credible and timely information, especially in the fight against epidemics. However, Vietnamese understanding is still a big challenge for NLP. This paper introduces an AI Agent using the Attention algorithm and Albert model to implement the question/answering task in the Covid-19 field for the Vietnamese language. In the end, we also built two other modules, one for Vietnamese diacritic auto-correction and another for updating Covid-19 statistics (using RASA framework), to deploy a Covid-19 chatbot application on mobile devices. © 2021 ACM.