-
Notifications
You must be signed in to change notification settings - Fork 17
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
Type-based NCE #7
Comments
In fact, we create two different weight matrices for entity prediction and relation prediction, respectively. When the target is a relation, we only need to call the standard NCE function |
Thanks for the explaination but I am still confused about the NCE-based negative sampling. My understanding is: in the entity prediction, the input is the entity embedding matrix and the |
Almost right.
Thanks for your attention to our work. |
Hi,
I found you used type-based noise-constrained estimation (NCE) for negative sampling, which is very interesting. Could you please tell me which part of your code is for the NCE?
Best regards
Sirui
The text was updated successfully, but these errors were encountered: