Bibliographic Details
| Title: |
Relation Extraction from News Articles (RENA): A Tool for Epidemic Surveillance |
| Authors: |
Hong, Jaeff, Dung, Duong, Hutchinson, Danielle, Akhtar, Zubair, Chen, Rosalie, Dawson, Rebecca, Joshi, Aditya, Lim, Samsung, MacIntyre, C Raina, Gurdasani, Deepti |
| Publication Year: |
2023 |
| Collection: |
Computer Science |
| Subject Terms: |
Computer Science - Computation and Language, Computer Science - Artificial Intelligence |
| More Details: |
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.
Comment: Under review in AAAI 2024 |
| Document Type: |
Working Paper |
| Access URL: |
http://arxiv.org/abs/2311.01472 |
| Accession Number: |
edsarx.2311.01472 |
| Database: |
arXiv |
