KD-DocRE
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Implementation of Document-level Relation Extraction with Knowledge Distillation and Adaptive Focal Loss
hi, can you tell me how to differentiate frequent and long-tail relations in section 3.5 of this paper? Moreover, infer-f1?
Loaded train features Loaded dev features Loaded test features Some weights of the model checkpoint at bert-base-cased were not used when initializing BertModel: ['cls.predictions.decoder.weight', 'cls.predictions.transform.LayerNorm.weight', 'cls.predictions.transform.LayerNorm.bias', 'cls.seq_relationship.weight', 'cls.predictions.bias', 'cls.seq_relationship.bias', 'cls.predictions.transform.dense.bias',...
Hello! When I try to run the code, I got this error: `Loaded train features Loaded dev features Loaded test features Some weights of the model checkpoint at roberta-large were...
Good evening, Would you have any advices/indications on how to create a simple script that compute the model outputs given any text in Re-DocRED format ? Thanks & keep going...
有没有正在跑代码的人可以互相交流一下