Giters

v-mipeng / LexiconNER

Lexicon-based Named Entity Recognition

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

Estimate $\pi_p$

lnying opened this issue · comments

commented

Thanks for sharing your paper and codes and this paper interesting

I downloaded this codes and run feature_pu_model.py
I found that the calculation of $\pi_p$ is based on the golden labels, and I try to use 0.04 for PER type as mentioned in the paper, but only get the result of 93.44 for 'bnpu'.

look forward to your replies.....