Duration: 9:39

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Speaker: Tristan Naumann, Principal Researcher, Microsoft Research

Information overload is a prevalent challenge in many high-value domains. Search in biomedicine, and many other vertical domains, is challenging due to the scarcity of direct supervision from click logs. Self-supervised learning has emerged as a promising direction to overcome the annotation bottleneck. In this talk, we discuss work that presents a general approach for vertical search based on domain-specific pretraining and present a case study in the biomedical domain, Microsoft Biomedical Search.

Learn more about the 2021 Microsoft Research Summit: https://Aka.ms/researchsummit