L takes adantage of label text to explicitly determine the semantic relation between documents and labels, however, label text is not easy to distinguish the difference between labels (e.g., Management vs. Management movies).
in order to seamlessly integrate the above two parts, an adaptive fusion strategy is designed, which can effectively output the comprehensive document representation to build multilabel text classifier.