This is an implementation of [Multi-Representation Fusion Network for Multi-turn Response Selection in Retrieval-based Chatbots, WSDM 2019].
- Ubuntu 16.04
- Tensorflow 1.4.0
- Python 2.7
- NumPy
To download and preprocess the data, run
# download ubuntu corpus and word/char dictionaries and pre-trained embeddings
sh download.sh
# preprocess the data
python data_utils_record.py
All hyper parameters are stored in config.py. To train, run
python main.py --log_root=logs_ubuntu --batch_size=100
To evaluate the model, run
python evaluate.py --log_root=logs_ubuntu --batch_size=100