UNC SILS at TREC 2019 Precision Medicine Track
This paper describes our participation in the scientific abstract retrieval task of TREC 2019 Precision Medicine Track. Our approach has two major components. First, we expand the original disease and gene terms using biomedical knowledge bases to improve recall of the initial retrieval. We then improve precision by promoting treatmentrelated publications to the top using a machine learning reranker trained on 2017 and 2018 relevance judgments combined. Batch evaluation results show that the proposed approach effectively improves P@10 compared to the baseline model.
TREC