Comments (2)
Cartus
commented on July 23, 2024
Yes, we (or the author of the datasets) use Stanford CoreNLP to get the corresponding dependency tree for TACRED, PubMed (cross-sentence n-ary re dataset) and SemEval Task 8.
I need to apologize for the delay in releasing the code for PubMed and SemEval dataset. I am occupied by the visa stuff in these few months. I will release them once I have some free time.
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shiningliang
commented on July 23, 2024
OK. Thank you very much. Don't worry. Focus on your visa. Good luck.
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Related Issues (20)
- some error about:"RuntimeError: cuda runtime error (100) : " HOT 4
- About "M identical blocks" HOT 8
- Why the number of classes on the SemEval2010-Task 8 is only 10? HOT 2
- some question about your paper HOT 2
- 请问代码中的mlp output layer 是用来干嘛的 HOT 1
- RuntimeError: cuda runtime error (38) : no CUDA-capable device is detected at ..\src\THC\THCGeneral.cpp:70 HOT 2
- About replacing data sets HOT 9
- I found an error: train.py: error: argument --id: expected one argument
- RuntimeError: cuda runtime error (100) : no CUDA-capable device is detected at /tmp/pip-req-build-ufslq_a9/aten/src/THC/THCGeneral.cpp:50 HOT 1
- how to get standford_head and stanford_deprel for cross-sentence data HOT 3
- F1=0 HOT 1
- the Final Score HOT 2
- how to preprocess the dataset HOT 5
- 关于AGGCN模型细节的问题 HOT 1
- Why did you configure the first densely connected layer with GraphConvLayer? HOT 1
- What is the function of tensor "denom" ? HOT 3
- environment error
- How to test the n-ary relation extraction part of the experiment?
- 适用于中文数据集吗？ HOT 3
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