Lejla Metohajrová

Thank you, I've read their code and also tried to reimplement it (https://github.com/lej-la/deep-ed-pytorch), but I eventually gave up. I thought your model is a generalized version of their model and...

Please, just for clarification. My assumption is that if I run your code like this with the following parameters: ``` python -u -m nel.main --mode train --n_rels 1 --mulrel_type rel-norm...

The results of your best model that I was able to get (by running the first command) were on average 91.62 micro F1.

I don't have them, but I'll re-run the training and send it to you. Can I use your email from your last paper (https://arxiv.org/pdf/1906.01250.pdf)?

Thank you :)

Hey, I got a bit confused by the part in section 3.2 about rel-norm. The true parameters to replicate ganea global model are actually using ment-norm with K=1. In that...

But then, actually the ment-norm model seems to have the same performance with K=1 and K=3.