 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.
<coherence>  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.
 In this paper, aN eural network-based method calledLA-HCN \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.