Relation Extraction from News Articles (RENA): A Tool for Epidemic Surveillance
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Abstract (arXiv)
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.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 5 of its 7 references that are in the map. First posted on arXiv 31 Oct 2023.
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5 of 7 references.
References · 5
- 2023LLaMA: Open and Efficient Foundation Language Modelscited by 14,132
- 2023QLoRA: Efficient Finetuning of Quantized LLMscited by 3,418
- 2020Document-Level Relation Extraction with Reconstructioncited by 41
- 2017A Survey of Deep Learning Methods for Relation Extractioncited by 16
- 2019Survey of Text-based Epidemic Intelligence: A Computational Linguistic Perspectivecited by 6
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