Before revision:  In this paper, aN eural network-based method calledLA-HCN is proposed where a novel\textbf{L abel-based\textbf{A ttention module is designed to hierarchically extract important information from the text based on different labels . Besides,  local and global document embeddings are separately generated to support the respective local and global classifications.
After revision:  In this paper, aN eural network-based method calledLA-HCN is proposed where a novel\textbf{L abel-based\textbf{A ttention module is designed to hierarchically extract important information from the text based on different labels . Besides, hierarchical information is shared across levels while preserving the hierarchical label-based information. Separate local and global document embeddings are separately generated to support the respective local and global classifications.