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zhang-yu-wei avatar zhang-yu-wei commented on September 5, 2024

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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RookieZB avatar RookieZB commented on September 5, 2024

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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zhang-yu-wei avatar zhang-yu-wei commented on September 5, 2024

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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RookieZB avatar RookieZB commented on September 5, 2024

@zhang-yu-wei 好的，非常感谢你们的工作和答复！

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