Decoupled Attention and Character–Word Mask for Chinese Nested Named Entity Recognition
A Chinese nested NER method based on attention decoupling and character–word association masking mechanism that decomposes traditional character–word interactions into three independent matrices, content–content, content–position, and position–content, thereby achieving decoupled representation of position and content.