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arXiv · 2111.15641

Automatic Extraction of Medication Names in Tweets as Named Entity Recognition

Carol Anderson·Bo Liu·Anas Abidin·Hoo-Chang Shin·Virginia Adams
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Abstract

Social media posts contain potentially valuable information about medical conditions and health-related behavior. Biocreative VII Task 3 focuses on mining this information by recognizing mentions of medications and dietary supplements in tweets. We approach this task by fine tuning multiple BERT-style language models to perform token-level classification, and combining them into ensembles to generate final predictions. Our best system consists of five Megatron-BERT-345M models and achieves a strict F1 score of 0.764 on unseen test data.

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Carol Anderson, Bo Liu, Anas Abidin, Hoo-Chang Shin, Virginia Adams. 2021-11-30. Automatic Extraction of Medication Names in Tweets as Named Entity Recognition. https://arxiv.org/abs/2111.15641

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