Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

blank label #44

Open
xcharxlie opened this issue Feb 19, 2023 · 1 comment
Open

blank label #44

xcharxlie opened this issue Feb 19, 2023 · 1 comment

Comments

@xcharxlie
Copy link

Thanks for your great work and datasets! I wonder how you treated label blank while training the model? As the labeler model should output only positive, negative and uncertain. Also did you use any tricks trying to fix the unbalanced dataset like data augmentation or twisted training loss functions to make model less biased?

@jirvin16
Copy link
Contributor

Thanks for your great work and datasets! I wonder how you treated label blank while training the model? As the labeler model should output only positive, negative and uncertain. Also did you use any tricks trying to fix the unbalanced dataset like data augmentation or twisted training loss functions to make model less biased?

Thanks for the kind words! Blank label was treated as negative (no mention of the category in the report). We did not use any methods for class balancing in our final models - the full approach is described in our paper!

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants