CiTIUS at the TREC 2020 Health Misinformation Track

TítuloCiTIUS at the TREC 2020 Health Misinformation Track
AutoresMarcos Fernández-Pichel, David E. Losada, Juan C. Pichel, and David Elsweiler
TipoComunicación para congreso
Fonte Text Retrieval Conference, Gaithersburg (United States), 2020.
AbstractThe TREC Health Misinformation track focuses on discerning reliable from unreliable information and correct from incorrect information. This problem is very common in Web Search results and it is especially critical when it is related to health content. This year's task focuses on COVID-19 and SARS-CoV-2 misinformation. In our experiments, we applied a BM25 retrieval baseline as a first step. Afterwards, we used a reliability classifier recently developed by our team. Finally, we also experimented with BERT-based variants that attempt to estimate similarity between sentences.
Palabras chavemisinformation, COVID-19, reliability