Comments (11)
Mrxianche
commented on May 23, 2024
同问
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ShellingFord221
commented on May 23, 2024
同问。如果是top 500 entity pairs in entity prediction的话，对每个entity的预测都不止500个
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Mrlyk423
commented on May 23, 2024
作用是通过TransE的score为每一个(e1, r, ?)或者(?, r, e2)的 pair 选择出top-500的candidate entity.
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ShellingFord221
commented on May 23, 2024
但是从文件内容来看，好像并不只是被当做头预测的500个和被当做尾预测的500个加起来共1000个？比如在e1_e2.txt文件中，前1048行都是预测id为0的这个实体？
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ShellingFord221
commented on May 23, 2024
也就是说文件每一行由空格分割的两个数字分别表示什么呢？非常感谢！
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hauntedvalleyaspect
commented on May 23, 2024
相关代码是什么
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ShellingFord221
commented on May 23, 2024
同问，如果能share一下得到e1_e2.txt文件的代码就更好了
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Mrlyk423
commented on May 23, 2024
e1_e2.txt文件存储的是所有test文件中通过TransE的score预处理出来的entity pair，为了节省空间我们将不同triple的entity pair进行了合并。具体代码在KB2E/PTransE/PTransE_add/Test_TransE_path.cpp:
line258-259,302-303,360-361,445-447.
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Xiaobenbenben
commented on May 23, 2024
你好，按着论文中描述来说这个文件是包含测试集对应的e1_e2对就可以了吗，还是必须包含所有实体的
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Mrlyk423
commented on May 23, 2024
需要包含测试集中通过TransE处理出来的top500的entity pair.
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DR73
commented on May 23, 2024
您好，根据您所说的，我理解的是通过Test_TransE_path.cpp生成e1_e2.txt文件，可是执行PCRA.py时就需要读入e1_e2.txt文件，所以请问e1_e2.txt文件到底是什么时候生成的呢？（代码执行顺序应该是PCRA.py->Train_TransE_path.cpp->Test_TransE_path.cpp吧？）
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Related Issues (20)
- 怎么评价得到的vector呢？
- 利用pcra抽取4跳路径时，出现memory error ?
- The testing command HOT 3
- result使用
- 关于Test_TransE.cpp HOT 2
- What are the urls in FB40k.txt ?
- 你好，想问关于实验结果的问题
- Obtaining PTransE-specific dataset HOT 3
- 实在看不懂这个函数，有没有人帮帮我。。。
- 实在看不懂TransR中第二个norm函数（对向量和矩阵的乘积进行归一化），怎么跟直接对向量进行归一化不一样呢，反倒是有些步骤和梯度下降差不多，有没有人帮我解惑一下，卡在这里很久了。。。
- How to generate e1_e2.txt? HOT 3
- The generated file "entity2vec.bern" or "relation2vec.bern" are empty when i use TransE
- PTransE的train-pca.txt和confidence.txt HOT 1
- left right分别代表的是什么？ HOT 1
- Train_TransE 训练样本量过大会导致 Segmentation fault，怎么解决？ HOT 2
- TransE reaches 0-error for Wikidata_300K HOT 1
- 找人一起研究pTranse论文 HOT 1
- confidence.txt
- 请问没有pytorch版本的吗 HOT 1
- Is okay to remove the re-rank operation?
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