Projects per year
This study describes our proposed model design for SMM4H 2021 shared tasks. We fine-tune the language model of RoBERTa transformers and their connecting classifier to complete the classification tasks of tweets for adverse pregnancy outcomes (Task 4) and potential COVID-19 cases (Task 5). The evaluation metric is F1-score of the positive class for both tasks. For Task 4, our best score of 0.93 exceeded the median score of 0.925. For Task 5, our best of 0.75 exceeded the median score of 0.745.
|Title of host publication||Social Media Mining for Health, SMM4H 2021 - Proceedings of the 6th Workshop and Shared Tasks|
|Editors||Arjun Magge, Ari Z. 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|
|Publisher||Association for Computational Linguistics (ACL)|
|Number of pages||4|
|State||Published - 2021|
|Event||6th Workshop and Shared Tasks on Social Media Mining for Health, SMM4H 2021 - Mexico City, Mexico|
Duration: 10 Jun 2021 → …
|Name||Social Media Mining for Health, SMM4H 2021 - Proceedings of the 6th Workshop and Shared Tasks|
|Conference||6th Workshop and Shared Tasks on Social Media Mining for Health, SMM4H 2021|
|Period||10/06/21 → …|
FingerprintDive into the research topics of 'Classification of Tweets Self-reporting Adverse Pregnancy Outcomes and Potential COVID-19 Cases Using RoBERTa Transformers'. Together they form a unique fingerprint.
- 2 Finished
1/05/20 → 30/04/21