Adaptive micro- and macro-knowledge incorporation for hierarchical text classification

Zijian Feng, Kezhi Mao, Hanzhang Zhou

Abstract: Highlights•Conceptualize extensive external knowledge as micro-knowledge and macro-knowledge.•Aggregate micro- and macro-knowledge into original text features adaptively.•Construct text-knowledge graphs to emphasize discriminant information.•Simplify hierarchy-GCN as SH-GCN with improved performance.•Adaptively fuse features from multiple label graphs by confidence maximization.