This repo contains the code and data of the paper: Polite Chatbot: A Text Style Transfer Application.
Our method: We (1) train the politeness transfer model; (2) generate synthetic training data by applying the transfer model to neutral utterances; (3) train the dialogue models using the synthetic data.
pip install -r requirements.txt
Will add more information in this section soon.
If you use this data or code please cite the following:
@inproceedings{mukherjee-etal-2023-polite,
title = "Polite Chatbot: A Text Style Transfer Application",
author = "Mukherjee, Sourabrata and
Hude{\v{c}}ek, Vojt{\v{e}}ch and
Du{\v{s}}ek, Ond{\v{r}}ej",
booktitle = "Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop",
month = may,
year = "2023",
address = "Dubrovnik, Croatia",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2023.eacl-srw.9",
pages = "87--93",
}
Author: Sourabrata Mukherjee
Copyright © 2023 Sourabrata Mukherjee.
Licensed under the MIT License.
This research was supported by Charles University projects GAUK 392221, GAUK 302120, and SVV 260575, and by the European Research Council (Grant agreement No. 101039303 NG-NLG).