KEQA_WSDM19
KEQA_WSDM19 copied to clipboard
Knowledge Graph Embedding Based Question Answering
训练了很多epoch,开发集精度只有63 看了论文原文,并没有提到这部分的训练效果,请问作者也是这样吗? 我感觉这个低了后续任务肯定受影响的 Dev Accuracy: 0.6357314148681055 411 17 40001 2049/2372 86% 0.003043 431 18 42001 1677/2372 71% 0.003203 451 19 44001 1305/2372 55% 0.002822 471 20 46001 933/2372 39% 0.003007...
我知道python3.6 transE_emb.py --learning_rate 0.003 --batch_size 3000 --eval_freq 50是别人的成果,但是我在自己执行TransE时,遇到了一些问题,想查看下您是怎么做的,只是用于自学目的,十分感谢!
 I had error in this lines of code. The error is TypeError: can’t convert cuda:0 device type tensor to numpy. Use Tensor.cpu() to copy the tensor to host memory...
Hello, Thank you for sharing your work. I found the link of KGembed.zip in your main.sh, which I believe is the entity embeddings pre-trained by TransE. However, when debugging in...
Hi, thank you very much for sharing the code and data! But I found an issue with the FB2M and FB5M datasets shared in https://www.dropbox.com/s/9lxudhdfpfkihr1/data.zip. The paper (https://arxiv.org/pdf/1506.02075.pdf) reports the...
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Hi ! Thanks for sharing the code. I would like to ask how to test the model on FB2M ?
Thanks for your work. Using the script you provided we can access the following graph cleanedFB.txt Nevertheless, In your experiments you mention two graphs and these are not provided along...
显示缺少文件,请问这个问题应该如何解决