This paper describes the models developed by the AILAB-Udine team for the SMM4H’22 Shared Task.
Medical term normalization consists in mapping a piece of text to a large number of output classes.
This paper describes the models developed by the AILAB-Udine team for the SMM4H 22 Shared Task.
In the last decade, an increasing number of users have started reporting Adverse Drug Events (ADE) on social media platforms, blogs, and health forums.
Adverse Drug Event (ADE) extraction models can rapidly examine large collections of social media texts, detecting mentions of drug-related adverse reactions and trigger medical investigations.