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zxlzr avatar zxlzr commented on August 24, 2024

您好,请问您使用的是deepke中哪个方法?麻烦您提供一些细节便于我们帮助您

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Danmo121 avatar Danmo121 commented on August 24, 2024

您好,请问您使用的是deepke中哪个方法?麻烦您提供一些细节便于我们帮助您
您好,就是使用re中DeepKE\example\re\document 篇章级别的关系抽取方法,就是使用咱们提供的DocRED数据。也是按照现有的代码正常训练和预测的。

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njcx-ai avatar njcx-ai commented on August 24, 2024

您好,非常感谢您对我们工作的关注。

  1. test数据结果预测的是实体对之间的关系,这里应该不涉及sent_id。
  2. num_class代表了关系种类的数量,num_labels表示的应该是论文中公式10-11中的balanced softmax类别,您可以在源码里看一下具体细节。

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Danmo121 avatar Danmo121 commented on August 24, 2024

感谢解答,关于num_labels我明白了,看了一下h_idx是头实体,t_idx是尾实体,r是关系。h_idx t_idx是指在vertexSet中的索引,之前误认为是pos[]了。再次感谢

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