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

Jaeff Hong, Duong Dung, Danielle Hutchinson, Zubair Akhtar, Rosalie Chen +5 more
10/31/2023
cs.CLcs.AI

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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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Cite this paper

@article{hong2023relation,
  title  = {Relation Extraction from News Articles (RENA): A Tool for Epidemic Surveillance},
  author = {Jaeff Hong and Duong Dung and Danielle Hutchinson and Zubair Akhtar and Rosalie Chen and Rebecca Dawson and Aditya Joshi and Samsung Lim and C Raina MacIntyre and Deepti Gurdasani},
  year   = {2023},
  eprint = {2311.01472},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2311.01472v1}
}

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