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License: Apache License 2.0
Chinese Biomedical Language Understanding Evaluation benchmark (ChineseBLUE)
License: Apache License 2.0
我想在此基础上接着预训练,请问能发布下 字典 和 预训练 相关超参数吗?
你好,NER任务训练使用的两个数据集cEHRNER与cMedQANER,使用的标签体系是不一样的,请问这个在数据预处理的时候,是如何映射到统一的标签的呢?
cEHRNER的实体标签为:
{'疾病和诊断', '影像检查', '实验室检验', '药物', '症状', '手术', '解剖部位'}
cMedQANER的实体标签为:
{'physiology', 'test', 'disease', 'time', 'drug', 'symptom', 'body', 'department', 'crowd', 'feature', 'treatment'}
您好,感谢您分享您的工作。我在尝试复现NER任务时,发现F1值在80出头,不知道具体原因。所以想问一下,您这边项目有开源吗?
如题
大佬,没有开源词典,我们怎么用你预训练的model呢?
试了一下,与其他模型结果chinese_wwm_ext_pytorch完全一样,请问是vocab.txt的问题吗
你好,请问大家NER数据的结果能复现出那么高吗?为什么我F1值只有80左右
如题,观察您收集的数据集有来自CCKS的,也有来自CHIP的。
不太清楚cMedIC来自哪个评测任务。
您好,很感谢您开源的数据集和模型,但是我在下载查看cMedQA数据集时,发现标注的Label大多是不正确的,请问是否数据集存储出现了问题?
为什么模型下载之后没有词表
Could you tell me the version requirement of the libraries (tensorflow, transformer, Keras) for running this code?
Some errors occurred during the running due to the inappropriate version.
thx
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