A Term Extraction Approach to Expert Finding on the COVID-19 Open Research Dataset

Cécile Robin, Georgeta Bordea, Bianca Pereira, John Philip McCrae, Paul Buitelaar

Keywords: expert finding, term extraction, CORD-19, coronavirus, text mining, h-index, MeSH

TL;DR: In this work we investigate a term extraction approach that automatically identifies expertise topics and builds expert profiles from scientific publications in the specific context of COVID-19.

Abstract: The wide-scale impact of the COVID-19 crisis has brought to the forefront the need to identify experts with different scientific backgrounds. But controlled vocabularies and manually annotated publications lag behind when searching for recently emerging topics and well established scientometric approaches are notoriously difficult to compare across scientific areas. In this work we investigate a term extraction approach that automatically identifies expertise topics and builds expert profiles from scientific publications. We analyse domain-specific multi-word expressions related to COVID-19 and other related coronaviruses, and we discuss expert finding for five relevant ERC (European Research Council) life science areas.