Mathias Leddin


2022

pdf bib
Overview of the Seventh Social Media Mining for Health Applications (#SMM4H) Shared Tasks at COLING 2022
Davy Weissenbacher | Juan Banda | Vera Davydova | Darryl Estrada Zavala | Luis Gasco Sánchez | Yao Ge | Yuting Guo | Ari Klein | Martin Krallinger | Mathias Leddin | Arjun Magge | Raul Rodriguez-Esteban | Abeed Sarker | Lucia Schmidt | Elena Tutubalina | Graciela Gonzalez-Hernandez
Proceedings of The Seventh Workshop on Social Media Mining for Health Applications, Workshop & Shared Task

For the past seven years, the Social Media Mining for Health Applications (#SMM4H) shared tasks have promoted the community-driven development and evaluation of advanced natural language processing systems to detect, extract, and normalize health-related information in public, user-generated content. This seventh iteration consists of ten tasks that include English and Spanish posts on Twitter, Reddit, and WebMD. Interest in the #SMM4H shared tasks continues to grow, with 117 teams that registered and 54 teams that participated in at least one task—a 17.5% and 35% increase in registration and participation, respectively, over the last iteration. This paper provides an overview of the tasks and participants’ systems. The data sets remain available upon request, and new systems can be evaluated through the post-evaluation phase on CodaLab.