Question answering system for factoid questions about COVID-19 with natural language processing approach

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Indriati Indriati, Randy Cahya Wihandika, Putra Pandu Adikara, Barlian Henryranu Prasetio, Lailil Muflikhah

2024 AIP Conference Proceedings Vol. 3026 Issue 1 Conference paper Cited by 0 Quartile

Abstract

In March 2020, Indonesia faced fast-spreading COVID-19 Disease. In this regard, self-isolation serves as a solution for patients with mild symptoms due to the government's limited isolation facilities. Self-isolation is different from COVID-19 treatment in the hospital, where patients are fully treated by health professionals. Information clarity is pivotal amid the pandemics due to a vast number of misleading information. Addressing this issue, it is important to keep self-isolation patients receiving adequate and accurate information about COVID-19. Question Answering System (QAS) with Natural Language Processing emerges as one of the solutions to provide information for users. Named Entity Recognition is one of the methods to search for the answer for factoid questions, allowing users to obtain accurate answers. A number of question types were set as keywords with 50% to 72% accuracy. © 2024 Author(s).

Affiliations

Informatics Engineering Department, Faculty of Computer Science, Brawijaya University, Veteran No.8, Malang, 65145, Indonesia