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.- Anthology ID:
- 2023.eacl-srw.9
- Volume:
- 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
- Venue:
- EACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 87–93
- Language:
- URL:
- https://aclanthology.org/2023.eacl-srw.9
- DOI:
- Cite (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.
- Cite (Informal):
- Polite Chatbot: A Text Style Transfer Application (Mukherjee et al., EACL 2023)
- PDF:
- https://preview.aclanthology.org/starsem-semeval-split/2023.eacl-srw.9.pdf