COVID-SEE: Scientific Evidence Explorer for COVID-19 Related Research
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Abstract (arXiv)
We present COVID-SEE, a system for medical literature discovery based on the concept of information exploration, which builds on several distinct text analysis and natural language processing methods to structure and organise information in publications, and augments search by providing a visual overview supporting exploration of a collection to identify key articles of interest. We developed this system over COVID-19 literature to help medical professionals and researchers explore the literature evidence, and improve findability of relevant information. COVID-SEE is available at http://covid-see.com.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 18 Aug 2020.
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Citing papers per year: 2021: 3; 2022: 0; 2023: 0; 2024: 1.
4 papers.
- 2024An Information Retrieval and Extraction Tool for Covid-19 Related Papers20 Jan 2024
- 2021Impact of detecting clinical trial elements in exploration of COVID-19 literature25 May 2021
- 2021Linguistic Inspired Graph Analysis13 May 2021
- 2021COVID-19 Named Entity Recognition for Vietnamese8 Apr 2021