This task involves identifying personal mentions of COVID-19 symptoms tweets. It is a three-way classification problem, requiring participants to distinguish personal symptom mentions (self-reports) from other mentions such as symptoms reported by others (non-personal reports) and references to external sources (literature/news mentions).
The annotated set of tweets for this task is a set of manually curated Spanish-native language tweets.
The task is hosted on Codalab at https://codalab.lisn. upsaclay.fr/competitions/3535
Publication
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.
Language
Spanish
NLP topic
Abstract task
Dataset
Year
2022
Publication link
Ranking metric
F1
