A Joint Training Approach to Tweet Classification and Adverse Effect Extraction and Normalization for SMM4H 2021

Mohab Elkaref, Lamiece Hassan


Abstract
In this work we describe our submissions to the Social Media Mining for Health (SMM4H) 2021 Shared Task. We investigated the effectiveness of a joint training approach to Task 1, specifically classification, extraction and normalization of Adverse Drug Effect (ADE) mentions in English tweets. Our approach performed well on the normalization task, achieving an above average f1 score of 24%, but less so on classification and extraction, with f1 scores of 22% and 37% respectively. Our experiments also showed that a larger dataset with more negative results led to stronger results than a smaller more balanced dataset, even when both datasets have the same positive examples. Finally we also submitted a tuned BERT model for Task 6: Classification of Covid-19 tweets containing symptoms, which achieved an above average f1 score of 96%.
Anthology ID:
2021.smm4h-1.16
Volume:
Proceedings of the Sixth Social Media Mining for Health (#SMM4H) Workshop and Shared Task
Month:
June
Year:
2021
Address:
Mexico City, Mexico
Editors:
Arjun Magge, Ari Klein, Antonio Miranda-Escalada, Mohammed Ali Al-garadi, Ilseyar Alimova, Zulfat Miftahutdinov, Eulalia Farre-Maduell, Salvador Lima Lopez, Ivan Flores, Karen O'Connor, Davy Weissenbacher, Elena Tutubalina, Abeed Sarker, Juan M Banda, Martin Krallinger, Graciela Gonzalez-Hernandez
Venue:
SMM4H
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
91–94
Language:
URL:
https://aclanthology.org/2021.smm4h-1.16
DOI:
10.18653/v1/2021.smm4h-1.16
Bibkey:
Cite (ACL):
Mohab Elkaref and Lamiece Hassan. 2021. A Joint Training Approach to Tweet Classification and Adverse Effect Extraction and Normalization for SMM4H 2021. In Proceedings of the Sixth Social Media Mining for Health (#SMM4H) Workshop and Shared Task, pages 91–94, Mexico City, Mexico. Association for Computational Linguistics.
Cite (Informal):
A Joint Training Approach to Tweet Classification and Adverse Effect Extraction and Normalization for SMM4H 2021 (Elkaref & Hassan, SMM4H 2021)
Copy Citation:
PDF:
https://aclanthology.org/2021.smm4h-1.16.pdf