Hyperbolic Interaction Model For Hierarchical Multi-Label Classification

Understand

Different from the traditional classification tasks which assume mutual exclusion of labels, hierarchical multi-label classification (HMLC) aims to assign multiple labels to every instance with the labels organized under hierarchical relations.

• Besides the labels, since linguistic ontologies are intrinsic hierarchies, the conceptual relations between words can also form hierarchical structures.
• Thus it can be a challenge to learn mappings from word hierarchies to label hierarchies.
• We propose to model the word and label hierarchies by embedding them jointly in the hyperbolic space.