Comments (4)
我也遇到了这个问题,请问您解决了吗?
from lexiconner.
I guess this is probably caused by the class imbalance problem. You should set different class balance rate for LOC and MISC.
from lexiconner.
I guess this is probably caused by the class imbalance problem. You should set different class balance rate for LOC and MISC.
Thank you. It is truly caused by the class weight(descript in Loss definition , p5).
I want to know the class weight of each class in experiment of the paper, could you provide the accurate values for reference?
And what the range of the class weight?
If the corverage of entity class lexicon is good ,the class weight should be a bigger value, is that right?
from lexiconner.
请问大家有解决这个权重参数的设置问题么,我想在中文数据集上进行复现也遇到了同样的问题,但是不知道按照什么依据来设置合理的参数值
from lexiconner.
Related Issues (14)
- About questions ?
- Training without any supervised labeling
- 关键参数如何根据实体分布不同做调整 HOT 2
- ontonotes4.0原数据集处理
- Choosing appropriate hyperparameters for the loss function
- AdaPU困惑 HOT 1
- Estimate $\pi_p$
- about the bnPU loss HOT 1
- Are ``train.XXX.txt'' generated by dictionaries?
- Code issue HOT 1
- AttributeError: 'float' object has no attribute 'backward' HOT 1
- 中文的如何弄? HOT 2
- 关于损失函数
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from lexiconner.