ML-Net: multi-label classification of biomedical texts with deep neural networks

Understand

In multi-label text classification, each textual document can be assigned with one or more labels.

• Due to this nature, the multi-label text classification task is often considered to be more challenging compared to the binary or multi-class text classification problems.
• As an important task with broad applications in biomedicine such as assigning diagnosis codes, a number of different computational methods (e.g.
• training and combining binary classifiers for each label) have been proposed in recent years.