SGM: Sequence Generation Model for Multi-label Classification

Understand

Multi-label classification is an important yet challenging task in natural language processing.

• It is more complex than single-label classification in that the labels tend to be correlated.
• Existing methods tend to ignore the correlations between labels.
• Besides, different parts of the text can contribute differently for predicting different labels, which is not considered by existing models.