@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",
editor = "Bassignana, Elisa and
Lindemann, Matthias and
Petit, Alban",
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",
doi = "10.18653/v1/2023.eacl-srw.9",
pages = "87--93",
abstract = "Generating polite responses is essential to build intelligent and engaging dialogue systems. However, this task is far from well-explored due to the difficulties of rendering a particular style in coherent responses, especially when parallel datasets for regular-to-polite pairs are usually unavailable. This paper proposes a polite chatbot that can produce responses that are polite and coherent to the given context. In this study, a politeness transfer model is first used to generate polite synthetic dialogue pairs of contexts and polite utterances. Then, these synthetic pairs are employed to train a dialogue model. Automatic and human evaluations demonstrate that our method outperforms baselines in producing polite dialogue responses while staying competitive in terms of coherent to the given context.",
}
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%0 Conference Proceedings
%T Polite Chatbot: A Text Style Transfer Application
%A Mukherjee, Sourabrata
%A Hudeček, Vojtěch
%A Dušek, Ondřej
%Y Bassignana, Elisa
%Y Lindemann, Matthias
%Y Petit, Alban
%S Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop
%D 2023
%8 May
%I Association for Computational Linguistics
%C Dubrovnik, Croatia
%F mukherjee-etal-2023-polite
%X Generating polite responses is essential to build intelligent and engaging dialogue systems. However, this task is far from well-explored due to the difficulties of rendering a particular style in coherent responses, especially when parallel datasets for regular-to-polite pairs are usually unavailable. This paper proposes a polite chatbot that can produce responses that are polite and coherent to the given context. In this study, a politeness transfer model is first used to generate polite synthetic dialogue pairs of contexts and polite utterances. Then, these synthetic pairs are employed to train a dialogue model. Automatic and human evaluations demonstrate that our method outperforms baselines in producing polite dialogue responses while staying competitive in terms of coherent to the given context.
%R 10.18653/v1/2023.eacl-srw.9
%U https://aclanthology.org/2023.eacl-srw.9
%U https://doi.org/10.18653/v1/2023.eacl-srw.9
%P 87-93
Markdown (Informal)
[Polite Chatbot: A Text Style Transfer Application](https://aclanthology.org/2023.eacl-srw.9) (Mukherjee et al., EACL 2023)
ACL
- Sourabrata Mukherjee, Vojtěch Hudeček, and Ondřej Dušek. 2023. Polite Chatbot: A Text Style Transfer Application. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop, pages 87–93, Dubrovnik, Croatia. Association for Computational Linguistics.