Comments (4)
Did you get the performance? I have the same questions.
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@HWZX Could you please share your code that tests this network in SemEval 2010 task8?
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May I ask your Hyperparameter setting on SemEval2010_task8 dataset?
I can't get the best performance on SemEval2010_task8 in the paper.
Thank you so much!
hello,could you please share your code that tests this network in SemEval 2010 task8?
from gcn-over-pruned-trees.
May I ask your Hyperparameter setting on SemEval2010_task8 dataset?
I can't get the best performance on SemEval2010_task8 in the paper.
Thank you so much!
Kindly share the code....Please. Mine is throwing error.
[email protected]
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Related Issues (20)
- Influence on finetuning word embeddings
- Speedup training 10 times by one line of code HOT 1
- Implement of self loop HOT 1
- A little confuse on the code in func. head_to_tree in tree.py HOT 2
- Why is your model stable every time it runs, while mine is unstable? I have set the seed. HOT 1
- Using fine-tune word embedding in the evaluation phase HOT 1
- A bug: subj_mask and obj_mask don't mask the padding tokens
- The number of GCN layers is the best for experiment?
- About dataset of SemEval 2010 task8 HOT 1
- Can the model be adjusted for sentence classification instead of sequence labeling with a [CLS] token?
- 你好,我想问一下数据集中的head是什么意思呢?
- Hi, I just want to ask, what does head mean in the dataset? HOT 3
- Do i need both cpu and Gpu for running this implementation? HOT 1
- Memory issue
- Higher Loss Value HOT 6
- eval.py error HOT 6
- Meaning of "stanford_head" in given dataset HOT 1
- SemEval 2010 Task 8 Dataset is not used
- all predicted values are “no_relation”, and the Precision value is 100%, the Recall value is 0, and the value of dev_f1 is also 0. HOT 3
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