SENNA distribution missing file about deepnl HOT 3 CLOSED

words.lst is OK.
The results reported were obtained using an older version available here:
https://github.com/attardi/nlpnet
that did not use AdaGrad and used different learning rate parameters for different features.
It also did not set the random seed, hence the results varied at each run.
DeepNL instead sets the seed in dl-ner.py for replicable results.
You might try disabling AdaGrad by using parameter --eps 0.
However an FB1 of 81% is definitely too low.

from deepnl.

I have re-trained the model with the same settings and got 84%, I will run a 10-fold cross validation and and post the result here (take time). I will also try your suggestions and see if it helps 👍

from deepnl.

I have tested version 78f6e without random seed init on Conll03 but using my own random init in java within the same interval [+/-2.38... as in the python code], and ran it 10 times, evaluate with the conlleval script on testb and obtain an average F1=88.12%, standard deviation=0.20%
With the python random seeded init, I got F1=88.42%, so it's ok I think

from deepnl.