LHS712NV at #SMM4H 2024 Task 4: Using BERT to classify Reddit posts on non-medical substance use
Valeria Fraga, Neha Nair, Dalton Simancek, V.G.Vinod Vydiswaran
Abstract
This paper summarizes our participation in the Shared Task 4 of #SMM4H 2024. Task 4 was a named entity recognition (NER) task identifying clinical and social impacts of non-medical substance use in English Reddit posts. We employed the Bidirectional Encoder Representations from Transformers (BERT) model to complete this task. Our team achieved an F1-score of 0.892 on a validation set and a relaxed F1-score of 0.191 on the test set.- Anthology ID:
- 2024.smm4h-1.34
- Volume:
- Proceedings of The 9th Social Media Mining for Health Research and Applications (SMM4H 2024) Workshop and Shared Tasks
- Month:
- August
- Year:
- 2024
- Address:
- Bangkok, Thailand
- Editors:
- Dongfang Xu, Graciela Gonzalez-Hernandez
- Venues:
- SMM4H | WS
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 146–148
- Language:
- URL:
- https://aclanthology.org/2024.smm4h-1.34
- DOI:
- Cite (ACL):
- Valeria Fraga, Neha Nair, Dalton Simancek, and V.G.Vinod Vydiswaran. 2024. LHS712NV at #SMM4H 2024 Task 4: Using BERT to classify Reddit posts on non-medical substance use. In Proceedings of The 9th Social Media Mining for Health Research and Applications (SMM4H 2024) Workshop and Shared Tasks, pages 146–148, Bangkok, Thailand. Association for Computational Linguistics.
- Cite (Informal):
- LHS712NV at #SMM4H 2024 Task 4: Using BERT to classify Reddit posts on non-medical substance use (Fraga et al., SMM4H-WS 2024)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-4/2024.smm4h-1.34.pdf