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  CGRE is a generation-based relation extraction model
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  ·a SOTA chinese end-to-end relation extraction model,using bart as backbone.
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- ·using the training method of <REBEL:Relation Extraction By End-to-end Language generation>(EMNLP Findings 2021).
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  ·using the Distant-supervised data from cndbpedia,pretrained from the checkpoint of fnlp/bart-base-chinese.
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  ·can perform SOTA in many chinese relation extraction dataset,such as DuIE~1.0,DuIE~2.0,HacRED,etc.
 
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  CGRE is a generation-based relation extraction model
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  ·a SOTA chinese end-to-end relation extraction model,using bart as backbone.
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  ·using the Distant-supervised data from cndbpedia,pretrained from the checkpoint of fnlp/bart-base-chinese.
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  ·can perform SOTA in many chinese relation extraction dataset,such as DuIE~1.0,DuIE~2.0,HacRED,etc.