Comments (4)
您好!
感谢您对我们工作感兴趣!我们这里的预训练是通过在external data上有监督训练和internal data上自监督训练(为了适应下游任务的语料)联合完成的(原文公式1)。
其次如果没有external data的话,可以将模型路径改为bert-base-uncased。
Best,
Yuwei Zhang
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感谢答复!我明白您意思了,所以如果想用你们预训练模型复现出论文效果的话,是不是直接跑clnn训练就够了,因为这些模型已经做了mtp预训练了?另外还有个小问题请教下,请问你们有没有单独在Clinc数据(将其作为internal)上验证过clnn模型效果呢?
谢谢!
@zhang-yu-wei
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我们提供的模型包含了外部数据训练的阶段,其余的训练阶段可以follow我们的code。
另外,我们的paper主要focus在将CLINC作为外部数据的setting,来探究对target domain的影响,目前还没有做过您的实验。
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@zhang-yu-wei 好的,非常感谢你们的工作和答复!
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