Year: 2023
Type: conference-paper
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. 1
Institution: Charles University
Language: English
Topic: Speech and dialogue systems
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
Award: G4976355562
OpenAlex ID: W4386566568
