Multi-layer Joint Learning of Chinese Nested Named Entity Recognition Based on Self-attention Mechanism
international conference natural language processing, pp. 144-155, 2020.
Nested named entity recognition attracts increasingly attentions due to their pervasiveness in general domain as well as in other specific domains. This paper proposes a multi-layer joint learning model for Chinese named entities recognition based on self-attention aggregation mechanism where a series of multi-layered sequence labeling su...More
Full Text (Upload PDF)
PPT (Upload PPT)