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Thank you for sharing your code and I am very interested in dice loss especially for NER task.
Here you are sharing CoNLL2003 data of MRC format but the script for NER (with hyper-parameters) is for OntoNotes5 (English). Can you share the script (actually, the hyper-parameters) suitable for CoNLL2003 data?
When I used the script for OntoNotes5 with CoNLL2003 data, I could get about 92.08 F1 (with 10 epochs) but this is a bit lower performance than 93.33 F1, which is reported in the ACL2020 paper. On the contrary, I could get 92.35 F1 with BCE loss and 5 epochs.
And can you share OntoNotes5 data of MRC format or at least query sentences?
The text was updated successfully, but these errors were encountered:
Thank you for sharing your code and I am very interested in dice loss especially for NER task.
Here you are sharing CoNLL2003 data of MRC format but the script for NER (with hyper-parameters) is for OntoNotes5 (English). Can you share the script (actually, the hyper-parameters) suitable for CoNLL2003 data?
When I used the script for OntoNotes5 with CoNLL2003 data, I could get about 92.08 F1 (with 10 epochs) but this is a bit lower performance than 93.33 F1, which is reported in the ACL2020 paper. On the contrary, I could get 92.35 F1 with BCE loss and 5 epochs.
And can you share OntoNotes5 data of MRC format or at least query sentences?
The text was updated successfully, but these errors were encountered: