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---
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license: apache-2.0
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---
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---
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language:
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- zh
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tags:
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- named entity recognition
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license: apache-2.0
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datasets:
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- CMeEE
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metrics:
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- micro f1
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---
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# GPLinker关系抽取模型
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## 模型介绍
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+ 数据集:CMeEE中文医学文本命名实时识别
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+ 模型方法:[Efficient GlobalPointer:少点参数,多点效果](https://spaces.ac.cn/archives/8877)
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## 使用方法
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```commandline
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pip install lightningnlp
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```
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```python
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from pprint import pprint
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from lightningnlp.task.named_entity_recognition import NerPipeline
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pipline = NerPipeline(model_name_or_path="xusenlin/cmeee-global-pointer", model_name="global-pointer", model_type="bert")
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text = "可伴发血肿或脑梗死而出现局灶性神经体征,如肢体瘫痪及颅神经异常等。"
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pprint(pipline(text))
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```
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