Finding answers to COVID-19-specific questions: An information retrieval system based on latent keywords and adapted TF-IDF

Abstract

The scientific community has reacted to the COVID-19 outbreak by producing a high number of literary works that are helping us to understand a variety of topics related to the pandemic from different perspectives. This paper presents an information retrieval system based on latent keywords and an adapted TF-IDF scheme for answering COVID-19-specific questions.