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您好,我看了这篇论文,从结果来看,如果用你们的方法联合训练两个数据集的话,最终精度表现起来竟然比只用一个数据集的精度还低?不知道是不是我理解错了,望指点
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论文解决的是联合训练的问题,精度不掉太多是可以接受的,我的理解是这样的。
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@LiaoChengkk 那这么做完全没有意义,不 make sense
是一个模型可以预测的类别变多了
@liuaj22 你这么说的话也合理,毕竟这篇是比较早做这个任务的了,后面用半监督或其他方法做的话基本都是能实现1+1>2的效果
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您好,我看了这篇论文,从结果来看,如果用你们的方法联合训练两个数据集的话,最终精度表现起来竟然比只用一个数据集的精度还低?不知道是不是我理解错了,望指点
The text was updated successfully, but these errors were encountered: