baiyyang / medical-entity-recognition Goto Github PK
View Code? Open in Web Editor NEW包含传统的基于统计模型(CRF)和基于深度学习(Embedding-Bi-LSTM-CRF)下的医疗数据命名实体识别
License: Apache License 2.0
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请问有使用到词典吗？可否共享一下词典
请问有使用到词典吗？可否共享一下词典，谢谢了！
你好，请问word2id.pkl怎么生成的
你好，请问word2id.pkl怎么生成的
请问如何对您训练的crf模型进行测试？
如题，可以用您提供的命令行对BLISTM-CRF进行测试，但是不知道如何测试CRF
非常感谢！
关于数据的使用问题
您好，我看了几篇医学NER的论文，他们都使用了CCKS2017作为实验的数据集，请问这个数据集是没有版权的吗，可以直接在我的论文中使用吗？
请教，crf_unit.py模型如何训练？
代码阅读起来不流畅
方法定义太多了吧，好好的tensorflow被你拆的这里调一个方法那里调一个方法。两句话写个方法，不方便debug。可读性太差了
请问crf_unit.py如何char模型
您好，我想用crf训练基于字的命名实体识别，我在crf_unit.py里能正常运行训练基于词的模型，但是基于字的模型，出来的结果不对，这是我哪个地方改错了吗？
請問要怎麼對crf重新訓練自己的資料呢?
目前使用bilstm-crf來訓練自己的資料，想要與crf進行比較，請問crf這部分要怎麼重新訓練呢?
> 如题，可以用您提供的命令行对BLISTM-CRF进行测试，但是不知道如何测试CRF
如题，可以用您提供的命令行对BLISTM-CRF进行测试，但是不知道如何测试CRF
非常感谢！
我刚刚修改了一下，可以用了。主要对crf_unit.py做了以下几个修改：
1、将crt.predata批量修改为predata
2、填入作者给的两个训练和测试文件
testpath = '../train_test_data/test_bio_word.txt'
trainpath = '../train_test_data/train_bio_word.txt'
Originally posted by @Licko0909 in #6 (comment)
请问crf_unit.py里面的import zhon.hanzi as zh从何而来，我是初学者，想先跑通代码，在学习代码
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