Towards Explainable Information Retrieval Models for Professional Search Tasks

Yue Wang, assistant professor in the School of Information and Library Science at the University of North Carolina, will discuss recent work on explainable retrieval models that emulate how medical experts make structured relevance judgments. Using data from the TREC Precision Medicine literature search track, Dr. Wang found that a simple, explainable, and label-efficient model can consistently perform as well as complex, black-box, and data-hungry learning-to-rank models.