@inproceedings{weissenbacher-etal-2022-overview,
title = "Overview of the Seventh Social Media Mining for Health Applications ({\#}{SMM}4{H}) Shared Tasks at {COLING} 2022",
author = "Weissenbacher, Davy and
Banda, Juan and
Davydova, Vera and
Estrada Zavala, Darryl and
Gasco S{\'a}nchez, Luis and
Ge, Yao and
Guo, Yuting and
Klein, Ari and
Krallinger, Martin and
Leddin, Mathias and
Magge, Arjun and
Rodriguez-Esteban, Raul and
Sarker, Abeed and
Schmidt, Lucia and
Tutubalina, Elena and
Gonzalez-Hernandez, Graciela",
editor = "Gonzalez-Hernandez, Graciela and
Weissenbacher, Davy",
booktitle = "Proceedings of The Seventh Workshop on Social Media Mining for Health Applications, Workshop {\&} Shared Task",
month = oct,
year = "2022",
address = "Gyeongju, Republic of Korea",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.smm4h-1.54",
pages = "221--241",
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 post-evaluation phase on CodaLab.",
}
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<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 post-evaluation phase on CodaLab.</abstract>
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%0 Conference Proceedings
%T Overview of the Seventh Social Media Mining for Health Applications (#SMM4H) Shared Tasks at COLING 2022
%A Weissenbacher, Davy
%A Banda, Juan
%A Davydova, Vera
%A Estrada Zavala, Darryl
%A Gasco Sánchez, Luis
%A Ge, Yao
%A Guo, Yuting
%A Klein, Ari
%A Krallinger, Martin
%A Leddin, Mathias
%A Magge, Arjun
%A Rodriguez-Esteban, Raul
%A Sarker, Abeed
%A Schmidt, Lucia
%A Tutubalina, Elena
%A Gonzalez-Hernandez, Graciela
%Y Gonzalez-Hernandez, Graciela
%Y Weissenbacher, Davy
%S Proceedings of The Seventh Workshop on Social Media Mining for Health Applications, Workshop & Shared Task
%D 2022
%8 October
%I Association for Computational Linguistics
%C Gyeongju, Republic of Korea
%F weissenbacher-etal-2022-overview
%X 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.
%U https://aclanthology.org/2022.smm4h-1.54
%P 221-241
Markdown (Informal)
[Overview of the Seventh Social Media Mining for Health Applications (#SMM4H) Shared Tasks at COLING 2022](https://aclanthology.org/2022.smm4h-1.54) (Weissenbacher et al., SMM4H 2022)
ACL
- 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, and Graciela Gonzalez-Hernandez. 2022. Overview of the Seventh Social Media Mining for Health Applications (#SMM4H) Shared Tasks at COLING 2022. In Proceedings of The Seventh Workshop on Social Media Mining for Health Applications, Workshop & Shared Task, pages 221–241, Gyeongju, Republic of Korea. Association for Computational Linguistics.