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I am a bit confused about the evaluation protocol. In the evaluation, you only feed (head, rel) to the model and get predictions with n elements representing the scores of (head, rel, t_1) ... (head, rel, t_n). Why you don't repeat this process for the tail? Could you explain the reason? I think it should be done right? Previous works all conduct the evaluation in this way.
Maybe I misunderstand your code. Look forward to your reply.
The text was updated successfully, but these errors were encountered:
I am a bit confused about the evaluation protocol. In the evaluation, you only feed (head, rel) to the model and get predictions with n elements representing the scores of (head, rel, t_1) ... (head, rel, t_n). Why you don't repeat this process for the tail? Could you explain the reason? I think it should be done right? Previous works all conduct the evaluation in this way.
Maybe I misunderstand your code. Look forward to your reply.
The text was updated successfully, but these errors were encountered: