IRRGN: An Implicit Relational Reasoning Graph Network for Multi-turn Response Selection

Overview of the proposed IRRGN

jupyter_version

jupyter_version is an unofficial version of the code, but you can use it to load model weights to verify the effect in the paper.

Code

You can train the model as follows:

   python code/main.py 

Environment

• A100-SXM4-80GB GPU

• CUDA 11.3

Citation

@inproceedings{
	Deng2022,
	title = "IRRGN: An Implicit Relational Reasoning Graph Network for Multi-turn Response Selection",
	author = "Jingcheng Deng and Hengwei Dai and Xuewei Guo and Yuanchen Ju and Wei Peng",
	booktitle = "Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing",
	month = dec,
	year = "2022",
	publisher = "Association for Computational Linguistics"
}