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UPV at TREC Health Misinformation Track 2021 Ranking with SBERT and Quality Estimators

11 December 2021
Ipek Baris Schlicht
Angel Felipe Magnossão de Paula
Paolo Rosso
ArXiv (abs)PDFHTML
Abstract

Health misinformation on search engines is a significant problem that could negatively affect individuals or public health. To mitigate the problem, TREC organizes a health misinformation track. This paper presents our submissions to this track. We use a BM25 and a domain-specific semantic search engine for retrieving initial documents. Later, we examine a health news schema for quality assessment and apply it to re-rank documents. We merge the scores from the different components by using reciprocal rank fusion. Finally, we discuss the results and conclude with future works.

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