Bilingual Chatbot For Covid-19 Detection Based on Symptoms Using Rasa NLU

Accessibility to medical knowledge and healthcare costs are the two major impediments for the common man. Conversational agents like Medical Chatbots, which are designed keeping in view medical applications can potentially address these issues. Chatbots can either be generic of specificin nature. Covid-19 is a communicable disease and early detection of it can let people know about the serious consequences of this disorder and help save human lives. In this article, we present a specific text-to-text Chatbot that engagespatients in the conversation using advanced Natural Language Understanding (NLU) and Natural Language Processing (NLP) techniques using Rasa Framework, to provide a personalized prediction based on the various symptoms sought from the patient. The Chatbot handles two languages: Arabic and French, then according to the analysis result, it suggests measures and actions be taken in order to serve life and prevent the spread of this virus which has devastated the whole world.

INKAD COVID-19 IntelliSearch: A multilingual search engine for answering questions about COVID-19 in real-time from the scientific literature

Thousands of research papers on COVID-19 have been published since the start of the pandemic. To find relevant information in this vast literature, researchers and healthcare information professionals, spend increasingly more time per search query. In this paper, we present INKAD COVID-19 IntelliSearch, a multilingual search engine that we built to help researchers and healthcare information professionals in finding precise and relevant information from the COVID-19 literature in real-time, while considerably reducing time spent per search query. We used the COVID-19 Open Research Dataset as the main source of papers. The search engine has a BM25 based document retrieval component, and a neural question-answering component returning the exact answer span. The overall system is evaluated against a COVID-19 question-answering test set with different information retrieval and question-answering models. We have made INKAD COVID-19 IntelliSearch accessible online for broader use by researchers and medical information professionals. © 2021 IEEE.