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Hello, I read your paper and I noticed that the final loss iteration used a labeling method to calculate binary cross-entropy loss. If I understand correctly, this seems to be related to the relationship between spans and labels. So, what role does the entity name encoding play in the loss training process?
The text was updated successfully, but these errors were encountered:
Hello, I read your paper and I noticed that the final loss iteration used a labeling method to calculate binary cross-entropy loss. If I understand correctly, this seems to be related to the relationship between spans and labels. So, what role does the entity name encoding play in the loss training process?
The text was updated successfully, but these errors were encountered: