iSchool Ph.D. student Yingya Li, Jun Wang, and iSchool professor Bei Yu present their paper, Detecting Health Advice in Medical Research Literature, for the 2021 Conference on Empirical Methods in Natural Language Processing.

The team developed an annotated corpus and a BioBERT-based model for identifying health advice sentences in abstracts and discussion sections in medical research papers. As a case study ,they applied this model to retrieve all health advice related to hydroxychloroquine from LitCovid, a COVID literature portal curated by NIH. For future work, they hope to compare and summarize the retrieved health advice and other downstream applications, like adding health advice to patient dialog systems.

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