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CCLUE

中文临床自然语言处理算法评估基准

A benchmark for Chinese ClinicalLanguage Understanding Evalution（CCLUE）

CCLUE数据集

名称 场景 训练集 验证集 测试集 评价指标
Clinical-NER 电子病历 1871 267 536 严格F1
Diabetes-NER 糖尿病指南或文献 6689 955 1912 严格F1
Health-Match 健康问答 14000 2000 4000 Averaged F1
Trial-Classify 临床试验 26838 3834 7669 Averaged F1

BERT模型在CCLUE中的表现

名称 验证集F1 测试集F1 算法
Clinical-NER 0.5715 0.5873 BERT+LSTM+CRF多模融合
Diabetes-NER 0.7861 0.7789 BERT+LSTM+CRF多模融合
Health-Match 0.8864 0.8899 BERT多模融合
Trial-Classify 0.7869 0.8268 BERT多模融合

脚本说明

脚本ner_input_data.py将数据准备为bert模型所需的文件格式

脚本ner_train_dev_test.py用于训练bert模型及获取模型对验证集和测试集的预测结果

脚本diabetes_ner_metric.py、clinical_ner_metric.py用于评估模型结果

脚本classify_train_dev_test.py用于训练bert模型及获取模型对验证集和测试集的预测结果

软件依赖

bertology_sklearn

cclue's People

Contributors

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Stargazers

Onlyseeziwei avatar avatar Li Hongxin avatar Amy avatar Qinkai avatar Dense AI avatar Zheng Yuan avatar

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