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.
You can train the model as follows:
python code/main.py
Checkpoints on the base and plus datasets can be obtained through this link.
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A100-SXM4-80GB GPU
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CUDA 11.3
@inproceedings{DBLP:conf/emnlp/DengDGJP22,
author = {Jingcheng Deng and
Hengwei Dai and
Xuewei Guo and
Yuanchen Ju and
Wei Peng},
editor = {Yoav Goldberg and
Zornitsa Kozareva and
Yue Zhang},
title = {{IRRGN:} An Implicit Relational Reasoning Graph Network for Multi-turn
Response Selection},
booktitle = {Proceedings of the 2022 Conference on Empirical Methods in Natural
Language Processing, {EMNLP} 2022, Abu Dhabi, United Arab Emirates,
December 7-11, 2022},
pages = {8529--8541},
publisher = {Association for Computational Linguistics},
year = {2022},
url = {https://doi.org/10.18653/v1/2022.emnlp-main.584},
doi = {10.18653/v1/2022.emnlp-main.584},
timestamp = {Thu, 10 Aug 2023 12:35:22 +0200},
biburl = {https://dblp.org/rec/conf/emnlp/DengDGJP22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}