Relation Extraction from News Articles (RENA): A Tool for Epidemic Surveillance
This tool addresses the need for efficient information extraction in epidemic surveillance for public health professionals, but it is incremental as it applies existing methods to a specific domain.
The paper tackled the problem of extracting entities and relationships from news articles for epidemic surveillance by developing RENA, a browser-based tool that enables real-time parsing with a user-friendly interface, contributing to the EPIWATCH warning system.
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.