Facilitating the Communication of Politeness through Fine-Grained Paraphrasing
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Abstract (arXiv)
Aided by technology, people are increasingly able to communicate across geographical, cultural, and language barriers. This ability also results in new challenges, as interlocutors need to adapt their communication approaches to increasingly diverse circumstances. In this work, we take the first steps towards automatically assisting people in adjusting their language to a specific communication circumstance. As a case study, we focus on facilitating the accurate transmission of pragmatic intentions and introduce a methodology for suggesting paraphrases that achieve the intended level of politeness under a given communication circumstance. We demonstrate the feasibility of this approach by evaluating our method in two realistic communication scenarios and show that it can reduce the potential for misalignment between the speaker's intentions and the listener's perceptions in both cases.
Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). First posted on arXiv 30 Nov 2020.
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Citing papers per year: 2021: 1; 2022: 1; 2023: 3; 2024: 4.
9 papers.
- 2021Towards Facilitating Empathic Conversations in Online Mental Health Support: A Reinforcement Learning Approachcited by 75
- 2023Do LLMs Understand Social Knowledge? Evaluating the Sociability of Large Language Models with SocKET Benchmarkcited by 62
- 2022TyDiP: A Dataset for Politeness Classification in Nine Typologically Diverse Languagescited by 21
- 2023Modeling Cross-Cultural Pragmatic Inference with Codenames Duetcited by 20
- 2024SoMeLVLM: A Large Vision Language Model for Social Media Processingcited by 11
- 2024Computational Politeness in Natural Language Processing: A Surveycited by 8
- 2024SOCIALITE-LLAMA: An Instruction-Tuned Model for Social Scientific Taskscited by 7
- 2024ImpScore: A Learnable Metric For Quantifying The Implicitness Level of Sentencecited by 3
- 2023Comparing Styles across Languages: A Cross-Cultural Exploration of Politenesscited by 2
- 2024ImpScore: A Learnable Metric For Quantifying The Implicitness Level of Sentence7 Nov 2024
- 2024Computational Politeness in Natural Language Processing: A Survey28 Jun 2024
- 2024SoMeLVLM: A Large Vision Language Model for Social Media Processing20 Feb 2024
- 2024SOCIALITE-LLAMA: An Instruction-Tuned Model for Social Scientific Tasks3 Feb 2024
- 2023Comparing Styles across Languages: A Cross-Cultural Exploration of Politeness11 Oct 2023
- 2023Modeling Cross-Cultural Pragmatic Inference with Codenames Duet4 Jun 2023
- 2023Do LLMs Understand Social Knowledge? Evaluating the Sociability of Large Language Models with SocKET Benchmark24 May 2023
- 2022TyDiP: A Dataset for Politeness Classification in Nine Typologically Diverse Languages29 Nov 2022
- 2021Towards Facilitating Empathic Conversations in Online Mental Health Support: A Reinforcement Learning Approach19 Jan 2021