Evaluating Data Augmentation for Medication Identification in Clinical Notes
Ixa, UPV/EHU, Donostia, Basque Country, Spain, Jordan C. Koontz, Maite Oronoz, HiTZ - Ixa, UPV/EHU, Donostia, Basque Country, Spain, Alicia Pérez, HiTZ - Ixa, UPV/EHU, Donostia, Basque Country, Spain · 2023
We evaluate the effectiveness of using data augmentation to improve the generalizability of a Named Entity Recognition model for the task of medication identification in clinical notes.We compare disparate data augmentation methods, namely mention-replacement and a generative model, for creating synthetic training examples.Through experiments on the n2c2 2022 Track 1 Contextualized Medication Event Extraction data set, we show that data augmentation with supplemental examples created with GPT-3 can boost the performance of a transformer-based model for small training sets.