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

Published:30 July 2021Publication History

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.

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  • Published in

    cover image ACM Other conferences
    ICSCA '21: Proceedings of the 2021 10th International Conference on Software and Computer Applications
    February 2021
    325 pages
    ISBN:9781450388825
    DOI:10.1145/3457784

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    Publication History

    • Published: 30 July 2021

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