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Heterogeneous Representations for Neural Relation Extraction https://arxiv.org/abs/1903.10126

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Dear Authors, The NYT dataset has 57+1 relation types however, in your rel2id.txt, there are only 54+1 relation types. What is the cause of such discrepancy? How should we mitigate...

Could you be so kind to offer your PR-curve data points of you modle, so that successors can compare their new models with yours more easily ?

python eval.py --model --prefix --runs Can you give me an example of **** Thank you!

![b208f20f103ffcd60b3fd2dc04adb88](https://user-images.githubusercontent.com/39556019/69813012-514bbb00-122c-11ea-82fb-5af52fad7fa6.png)

Hi there, Thanks for the code. It would have been much nicer if you would have also included the code for saving the trained model (e.g. while running `eval.py` )...

Hi there, Thank you very much for your sharing. I read your thesis and try to run your code,. During the data downloading process, I could not access to **https://docs.google.com/uc**...