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# 细粒度实体分类
Ner Stacked Bert Multilingual Light
Impresso NER模型是一个用于历史文档处理的多语言命名实体识别模型，基于堆叠式Transformer架构，能够识别数字化历史文本中的细粒度和粗粒度实体类型。
序列标注
Transformers Supports Multiple Languages
Transformers Supports Multiple LanguagesN
impresso-project
1,009
1
Mbert Multiconer22 Hi
该模型是专为SemEval Multiconer任务设计的命名实体识别(NER)模型，用于识别多语言和跨领域文本中的复杂实体类别。
序列标注 Transformers
TransformersM
sumitrsch
23
1
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