DAP project, PyTorch, LSTM model
This is for Yuan's Data Analysis Project. I want to implment LSTM-CRF autoencoder in PyTorch.
The data pre-processing part is done.
LSTM in PyTorch training part is done.
Evaluation part is done.
Test this model on CONLL2000, the result shown in below:
The CRF-LSTM model part is done.
Test this model on CONLL2000, the result shown in below:
I am doing the pre-training part now.... After pre-training, I will calculate the derivation by hand to speed up...
Some of the code is from https://github.com/glample/tagger I want to make the structure of my code is similar with /glample/tagger as much as possible.
We will use the following dataset now, text chunking