AntNet-rverseQA

The compiled data and implementation of AUNet understanding the answer of Reverse QA.

Data set description

Twenty-four participants were allowed to construct 50 to 60 questions given 18 to 22 answers from seven domains such as purchases, leisure interests and medical health. The details given blow:

Data set	questions	answers	samples(true/false/uncertain)
Tdata	536	10817	4610/4452/1755
Mdata	517	23445	20929/28876/9989

Code details

Requirement:

Python=3.6, Tensorflow=1.3.1, pyltp=0.2.1 and numpy=1.16.2

Train and Test

1. Train the model,you need to download the pretrained model ltp_model and download the bert model BERT if you want to use bert pretrained vector.

2. Run the following command to train or evaluate the AntNet respectively.

python train_choose.py  
python test_with_choose.py
python train_judge.py  
python test_with_judge.py