Using BiDAF and QANet on DuReader. Writen by YanXu, FangYueran and ZhangTianyang
When we train the QANet model, we use the pretrained word embedding from Baidu Encyclopedia, you can down load and save in folder ./embedding
Complete experimental results (including data sets, log of experimental records, tensorboard, and predicted output) can be downloaded from the Baidu network disk：https://pan.baidu.com/s/1qoxnF00wyJ2dqcAPDYTb8w code：gn5b, You can override it with the ./data
You can also train and test in completed DuReader dataset http://ai.baidu.com/broad/download
Generate dict and embedding：python BaiduRun.py --prepare
Train： python BaiduRun.py --train
Evaluate on dev： python BaiduRun.py --evaluate
Output the answers： python BaiduRun.py --predict
Generate dict and embedding：python OurRun.py --prepare
Train： python OurRun.py --train
Evaluate on dev： python OurRun.py --evaluate
Output the answers： python OurRun.py --predict
