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你好,我想问一下我打算做label embedding是应该先用语料库先训练出word embedding,然后提取与label的相关的word embedding组成label embedding;还是在label input后面加一层神经元个数小于label数量的隐藏层就能通过训练得到label embedding啊?
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确切的说,我不确定以一个label(或word)为输入的输入层之后的第一层隐藏层的输入是不是就是label(或word) embedding
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没关系,谢谢啦
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你好,我想问一下我打算做label embedding是应该先用语料库先训练出word embedding,然后提取与label的相关的word embedding组成label embedding;还是在label input后面加一层神经元个数小于label数量的隐藏层就能通过训练得到label embedding啊?
The text was updated successfully, but these errors were encountered: