Empathetic Dialogue Generation via Sensitive Emotion Recognition and Sensible Knowledge Selection (Findings of EMNLP 2022)
This repository is the implementation of our EMNLP 2022 Paper: Empathetic Dialogue Generation via Sensitive Emotion Recognition and Sensible Knowledge Selection
The paper is available at https://arxiv.org/abs/2210.11715.
Install the required libraries
pip install -r requirements.txt -
Download Pretrained GloVe Embeddings and save it in
/vectors. -
The preprocessed dataset is saved as
/data/ED/dataset_preproc.p. If you want to create the dataset yourself or change the knowledge types generated by COMET, delete this file, download the COMET checkpoint and place it in/data/ED/Comet. The preprocessed dataset would be generated after the training script.
python main.py --cuda --save_path save/your_dirpython main.py --cuda --test --save_path save/your_dir --model_path save/dir_save/SEEK_XXXX.XXXPlease be free to contact with us via wanglanrui@iie.ac.cn.