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作者你好,我尝试使用了relation的编码加入到self-attention,在训练早期效果确实很好。请问你们有尝试过其他不同的关系编码吗?感觉像论文中一样描述相对位置偏移的方法和思路应该有不少
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除了位置关系,我还尝试过编码类别关系,用交叉熵描述类别见的相对距离,但没有看到明显的精度提升。我推测是类别关系比较偏向语义,可能引入语言模型来构建类别关系会有效果。
其他还有基于统计的关系,比如预先统计两个类别在数据集中同时出现的概率。但就没尝试过了。
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作者你好,我尝试使用了relation的编码加入到self-attention,在训练早期效果确实很好。请问你们有尝试过其他不同的关系编码吗?感觉像论文中一样描述相对位置偏移的方法和思路应该有不少
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The text was updated successfully, but these errors were encountered: