Relation Extraction from News Articles (RENA): A Tool for Epidemic Surveillance

October 31, 2023 ยท Declared Dead ยท ๐Ÿ› arXiv.org

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Authors Jaeff Hong, Duong Dung, Danielle Hutchinson, Zubair Akhtar, Rosalie Chen, Rebecca Dawson, Aditya Joshi, Samsung Lim, C Raina MacIntyre, Deepti Gurdasani arXiv ID 2311.01472 Category cs.CL: Computation & Language Cross-listed cs.AI Citations 0 Venue arXiv.org Last Checked 6 months ago
Abstract
Relation Extraction from News Articles (RENA) is a browser-based tool designed to extract key entities and their semantic relationships in English language news articles related to infectious diseases. Constructed using the React framework, this system presents users with an elegant and user-friendly interface. It enables users to input a news article and select from a choice of two models to generate a comprehensive list of relations within the provided text. As a result, RENA allows real-time parsing of news articles to extract key information for epidemic surveillance, contributing to EPIWATCH, an open-source intelligence-based epidemic warning system.
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