@inproceedings{garcia-hernandez-etal-2022-air,
title = "{AIR}-{JPMC}@{SMM}4{H}{'}22: Identifying Self-Reported {S}panish {COVID}-19 Symptom Tweets Through Multiple-Model Ensembling",
author = "Garcia Hernandez, Adrian and
Liu, Leung Wai and
Gupta, Akshat and
Ravi, Vineeth and
Obitayo, Saheed O. and
Liu, Xiaomo and
Shah, Sameena",
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-1.43",
pages = "160--162",
abstract = "We present our response to Task 5 of the Social Media Mining for Health Applications (SMM4H) 2022 competition. We share our approach into classifying whether a tweet in Spanish about COVID-19 symptoms pertain to themselves, others, or not at all. Using a combination of BERT based models, we were able to achieve results that were higher than the median result of the competition.",
}
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<abstract>We present our response to Task 5 of the Social Media Mining for Health Applications (SMM4H) 2022 competition. We share our approach into classifying whether a tweet in Spanish about COVID-19 symptoms pertain to themselves, others, or not at all. Using a combination of BERT based models, we were able to achieve results that were higher than the median result of the competition.</abstract>
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%0 Conference Proceedings
%T AIR-JPMC@SMM4H’22: Identifying Self-Reported Spanish COVID-19 Symptom Tweets Through Multiple-Model Ensembling
%A Garcia Hernandez, Adrian
%A Liu, Leung Wai
%A Gupta, Akshat
%A Ravi, Vineeth
%A Obitayo, Saheed O.
%A Liu, Xiaomo
%A Shah, Sameena
%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 garcia-hernandez-etal-2022-air
%X We present our response to Task 5 of the Social Media Mining for Health Applications (SMM4H) 2022 competition. We share our approach into classifying whether a tweet in Spanish about COVID-19 symptoms pertain to themselves, others, or not at all. Using a combination of BERT based models, we were able to achieve results that were higher than the median result of the competition.
%U https://aclanthology.org/2022.smm4h-1.43
%P 160-162
Markdown (Informal)
[AIR-JPMC@SMM4H’22: Identifying Self-Reported Spanish COVID-19 Symptom Tweets Through Multiple-Model Ensembling](https://aclanthology.org/2022.smm4h-1.43) (Garcia Hernandez et al., SMM4H 2022)
ACL
- Adrian Garcia Hernandez, Leung Wai Liu, Akshat Gupta, Vineeth Ravi, Saheed O. Obitayo, Xiaomo Liu, and Sameena Shah. 2022. AIR-JPMC@SMM4H’22: Identifying Self-Reported Spanish COVID-19 Symptom Tweets Through Multiple-Model Ensembling. In Proceedings of The Seventh Workshop on Social Media Mining for Health Applications, Workshop & Shared Task, pages 160–162, Gyeongju, Republic of Korea. Association for Computational Linguistics.