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arXiv · 2103.02462

University of Copenhagen Participation in TREC Health Misinformation Track 2020

Lucas Chaves Lima·Dustin Brandon Wright·Isabelle Augenstein·Maria Maistro
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Abstract

In this paper, we describe our participation in the TREC Health Misinformation Track 2020. We submitted $11$ runs to the Total Recall Task and 13 runs to the Ad Hoc task. Our approach consists of 3 steps: (1) we create an initial run with BM25 and RM3; (2) we estimate credibility and misinformation scores for the documents in the initial run; (3) we merge the relevance, credibility and misinformation scores to re-rank documents in the initial run. To estimate credibility scores, we implement a classifier which exploits features based on the content and the popularity of a document. To compute the misinformation score, we apply a stance detection approach with a pretrained Transformer language model. Finally, we use different approaches to merge scores: weighted average, the distance among score vectors and rank fusion.

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Lucas Chaves Lima, Dustin Brandon Wright, Isabelle Augenstein, Maria Maistro. 2021-03-03. University of Copenhagen Participation in TREC Health Misinformation Track 2020. https://arxiv.org/abs/2103.02462

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