Pytorch implementation of "Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling" (https://arxiv.org/pdf/1609.01454.pdf)
Intent prediction and slot filling are performed in two branches based on Encoder-Decoder model.
You can get the data from here
Install the requirements:
pip install -r requirements.txt
python3 train.py --data_path 'your data path e.g. ./data/atis-2.train.w-intent.iob'
