BiLSTM, an ICD-11 automatic coding model using MC-BERT and label attention. Experiments on clinical records show 83.86% ...

Researchers at Osaka Metropolitan University have discovered a practical way to detect and fix common labeling errors in ...

Data labeling is a crucial step in any machine learning project, as it provides the ground truth for training and evaluating models. However, data labeling can also be a tedious, time-consuming, and ...