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arXiv · 2112.06080

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

Ipek Baris Schlicht·Angel Felipe Magnossão de Paula·Paolo Rosso
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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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Ipek Baris Schlicht, Angel Felipe Magnossão de Paula, Paolo Rosso. 2021-12-11. UPV at TREC Health Misinformation Track 2021 Ranking with SBERT and Quality Estimators. https://arxiv.org/abs/2112.06080

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