Conversations are not Flat: Modeling the Intrinsic Information Flow between Dialogue Utterances

This repository contains the code and pre-trained models for our ACL 2021 paper Conversations are not Flat: Modeling the Intrinsic Information Flow between Dialogue Utterances.

Our paper will be public soon!

**************************** Updates ****************************

• 5/10: We released the code and pre-trained model of Flow Score. Try to use it!

Overview

We propose the DialoFlow, a new paradigm to construct the dynamic information flow in the dialogue history by addressing the semantic influence brought about by each utterance. Besides, we design an automatic reference-free evaluation metric Flow Score based on the pre-trained DialoFlow for interactive dialogue quality evaluation.

DialoFlow

We will release the code and pre-trained models soon!

Flow Score

Flow Score is an automatic reference-free evaluation metric for interactive dialogue evaluation based on the pre-trained DialoFlow. Flow Score can be found here.

Citation

Please cite our paper if you use DialoFlow in your work.

@inproceedings{li2021dialoflow,
   title={Conversations are not Flat: Modeling the Intrinsic Information Flow between Dialogue Utterances},
   author={Li, Zekang and Zhang, Jinchao and Fei, Zhengcong and Feng, Yang and Zhou, Jie},
   booktitle={Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics},
   year={2021}
}