GitHub - liuyongjie985/Effective_Deep_Memory_Networks_for_Distant_Supervised_Relation_Extraction: IJCAI 2017 Relation Extraction

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Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
CNN+26Relation		CNN+26Relation
CNN+Deep+26Relation+Final		CNN+Deep+26Relation+Final
CNN+Deep+26Relation		CNN+Deep+26Relation
CNN+Deep+Max-pooling		CNN+Deep+Max-pooling
CNN+Max-pooling		CNN+Max-pooling
Deep+26Relation		Deep+26Relation
Deep+Max-pooling		Deep+Max-pooling
readme		readme

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论文中提到的方法在CNN+Deep+26Relation+Final下

使用 python NAas0s_jxt_model.py 来运行它

requirement：
python2.7
pip install numpy
pip install theano==0.8
pip install lasagne
pip install matplotlib==2.0
pip install sklearn

数据集链接：
链接:https://pan.baidu.com/s/1bhhoep3akh5xudNr_desVg  密码:7mkm

将数据集放到你要使用的模型路径下
例如：
使用CNN+Deep+26Relation+Final
则将test.p与data文件夹放置在CNN+Deep+26Relation+Final/
祝好