Figure 1.
Architecture of the proposed MCP-NER. NER is modeled as a generation task, and the span position of the entity and the corresponding entity type are generated through the vector output by the decoder at each moment. The soft cue vector is added to the encoding and decoding process of BART to guide the attention flow in the transformer.

Architecture of the proposed MCP-NER. NER is modeled as a generation task, and the span position of the entity and the corresponding entity type are generated through the vector output by the decoder at each moment. The soft cue vector is added to the encoding and decoding process of BART to guide the attention flow in the transformer.

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