@inproceedings{el-sayed-etal-2024-aast,
title = "{AAST}-{NLP}@{\#}{SMM}4{H}{'}24: Finetuning Language Models for Exact Age Classification and Effect of Outdoor Spaces on Social Anxiety",
author = "El-Sayed, Ahmed and
Nasr, Omar and
Tawfik, Noha",
editor = "Xu, Dongfang and
Gonzalez-Hernandez, Graciela",
booktitle = "Proceedings of The 9th Social Media Mining for Health Research and Applications (SMM4H 2024) Workshop and Shared Tasks",
month = aug,
year = "2024",
address = "Bangkok, Thailand",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2024.smm4h-1.25",
pages = "110--113",
abstract = "This paper evaluates the performance of {``}AAST-NLP{''} in the Social Media Mining for Health (SMM4H) Shared Tasks 3 and 6, where more than 20 teams participated in each. We leveraged state-of-the-art transformer-based models, including Mistral, to achieve our results. Our models consistently outperformed both the mean and median scores across the tasks. Specifically, an F1-score of 0.636 was achieved in classifying the impact of outdoor spaces on social anxiety symptoms, while an F1-score of 0.946 was recorded for the classification of self-reported exact ages.",
}
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%0 Conference Proceedings
%T AAST-NLP@#SMM4H’24: Finetuning Language Models for Exact Age Classification and Effect of Outdoor Spaces on Social Anxiety
%A El-Sayed, Ahmed
%A Nasr, Omar
%A Tawfik, Noha
%Y Xu, Dongfang
%Y Gonzalez-Hernandez, Graciela
%S Proceedings of The 9th Social Media Mining for Health Research and Applications (SMM4H 2024) Workshop and Shared Tasks
%D 2024
%8 August
%I Association for Computational Linguistics
%C Bangkok, Thailand
%F el-sayed-etal-2024-aast
%X This paper evaluates the performance of “AAST-NLP” in the Social Media Mining for Health (SMM4H) Shared Tasks 3 and 6, where more than 20 teams participated in each. We leveraged state-of-the-art transformer-based models, including Mistral, to achieve our results. Our models consistently outperformed both the mean and median scores across the tasks. Specifically, an F1-score of 0.636 was achieved in classifying the impact of outdoor spaces on social anxiety symptoms, while an F1-score of 0.946 was recorded for the classification of self-reported exact ages.
%U https://aclanthology.org/2024.smm4h-1.25
%P 110-113
Markdown (Informal)
[AAST-NLP@#SMM4H’24: Finetuning Language Models for Exact Age Classification and Effect of Outdoor Spaces on Social Anxiety](https://aclanthology.org/2024.smm4h-1.25) (El-Sayed et al., SMM4H-WS 2024)
ACL