sheng-z / figet Goto Github PK

Hi I'm trying to replicate your numbers on Ontonotes but running for 15 Epochs which is default, gives me a performance of 52.98, 69.58, 62.95 which is much lower than the numbers in the paper. Can you tell me if I'm doing something wrong? Thanks very much

In train.txt I see a lot of annotations that don't make any sense to me.
For example
0 1 Oh , after I shave it I rub on a little oil . /person/athlete /person
So the mention "Oh" is supposed to be categorized as an athlete???
0 1 Do you wear a hat ? /other /other/religion
Here "Do" is a religion?

Hello, I am so sorry to bother you. Can I use PyTorch1.1 to run your code? When I try to download PyTorch0.20, it tolds me that I must use CUDA7.5, and my version of CUDA is 10.0. I am looking forward to your reply. Thanks a lot.