Biaoyan Fang

Biaoyan Fang

PhD in NLP at The University of Melbourne

Brief Description of COVID-SEE: The Scientific Evidence Explorer for COVID-19 Related Research

Published:

Karin Verspoor, Simon Šuster, Yulia Otmakhova, Shevon Mendis, Zenan Zhai, Biaoyan Fang, Jey Han Lau, Timothy Baldwin, Antonio Jimeno-Yepes and David Martinez (2021) Brief Description of COVID-SEE: The Scientific Evidence Explorer for COVID-19 Related Research. In Proceedings of the 43rd European Conference on Information Retrieval (ECIR 2021), virtual conference

@inproceedings{verspoor2021brief,
  title={Brief Description of COVID-SEE: The Scientific Evidence Explorer for COVID-19 Related Research},
  author={Verspoor, Karin and Suster, Simon and Otmakhova, Yulia and Mendis, Shevon and Zhai, Zenan and Fang, Biaoyan and Lau, Jey Han and Baldwin, Timothy and Jimeno-Yepes, Antonio and Mart{\'\i}nez, David},
  booktitle={ECIR (2)},
  pages={559--564},
  year={2021},
  organization={Springer}
}

Abstract

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 through a visual overview of a collection enabling exploration 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.