nooralahzadeh / dsner-pytorch Goto Github PK

Hello, after 15 rounds of running your code, I found that the value of a was approaching 1, which led to the selection of all distant supervision data. This is obviously unreasonable, is there any way to solve it?

When I change setup to "A+H" and mode to "PA+SL" to run LSTm+CRF+PA+SL model, the cpu memory runs out quickly.

The machine's cpu memory is 57G and GPU is 11G.

Python 3.6.4 :: Anaconda, Inc.

torch 1.3.0+cu92

I don't know why it consumes so much cpu memory. Could you help me about this problem?

What's the file: 'ner.embed.pth '. Is it generated by word2vec. The format of it is not like char + vec

Hello, when I used the NEWS dataset, I got F1 about： 73.
However, In the dataset, it is 79.22.
Have you tried NEWS dataset in your code?

if I want to run lstm +crf+sl or lstm +crf ，how to run it. Whether I only use ds_fa data, right? Do I need to change other code.