2024
ACL
ACL 2024
LHS712NV at #SMM4H 2024 Task 4: Using BERT to classify Reddit posts on non-medical substance use
Abstract
AbstractThis 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.
🌉
Interdisciplinary Bridge
— Artificial Intelligence and Deep Learning and Natural Language Processing
🐝
Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Security & Privacy, Speech & Audio
Authors
Topics
Deep Learning > Architectures > Transformers
Natural Language Processing > Understanding > Named Entity Recognition
Natural Language Processing > Applications > Text Classification
Natural Language Processing > Applications > Named Entity Recognition
Artificial Intelligence > Core AI > Natural Language Processing