https://arxiv.org/abs/1801.00076
The data is in data.tar.bz2. Unzip the code by running
tar -xjvf data.tar.bz2The code is written using PyTorch in Python 2.7. Check here to install PyTorch. You can install other dependency by running
pip install -r requirements.txtDownload the pretrained glove embedding from here using
bash download_glove.shRun the following command to process the pretrained glove embedding for training the word embedding:
python extract_vocab.pyThe training script is train.py. To see the detailed parameters for running:
python train.py -hSome typical usage are listed as below:
Train a model with bi-attention:
python train.py --caTrain a model with column attention and trainable embedding (requires pretraining without training embedding, i.e., executing the command above):
python train.py --ca --train_embThe script for evaluation on the dev split and test split. The parameters for evaluation is roughly the same as the one used for training. For example, the commands for evaluating the models from above commands are:
Test a trained model with column attention
python test.py --caTest a trained model with column attention and trainable embedding:
python test.py --ca --train_emb
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent