ru
ru
Source
AISTATS
DATE OF PUBLICATION
06/28/2023
Authors
Elena Tutubalina Vera Davydova Davy Weissenbacher Juan Banda 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 Graciela Gonzalez-Hernandez
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Overview of the seventh social media mining for health applications (# smm4h) shared tasks at coling 2022

Abstract

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 postevaluation phase on CodaLab.

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