Extracting circumstances of Covid-19 transmission from free text with large language models - Bizel-Bizellot, Gaston; Galmiche, Simon; Lelandais, Benoît; Charmet, Tiffany; Coudeville, Laurent; Fontanet, Arnaud; Zimmer, Christophe (Nature communications, 2025)
Keywords: 631/114/1305; 631/326/596/4130; 692/499; 692/699/255; 692/700/478/174; Adult; Clusters; Computation and Language; Computer Science; COVID-19; COVID-19 - epidemiology; COVID-19 - transmission; Disease transmission; Document and Text Processing; Epidemiology; Female; France - epidemiology; Households; Humanities and Social Sciences; Humans; Infections; Infectious diseases; Language; Large Language Models; Life Sciences; Male; Middle Aged; multidisciplinary; Natural language processing; Pandemics; Polls & surveys; Public health; Questionnaires; Questions; Santé publique et épidémiologie; SARS-CoV-2; Science; Science (multidisciplinary); Severe acute respiratory syndrome coronavirus 2; Sociodemographics; Surveys; Surveys and Questionnaires; Viral diseases; France