Multi-layer Joint Learning of Chinese Nested Named Entity Recognition Based on Self-attention Mechanism

international conference natural language processing, pp. 144-155, 2020.

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Abstract:

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

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