Abstract
In this paper, we study how culture leads to differences in common ground and how this influences communication. During communication, cultural differences in common ground during communication may result in pragmatic failure and misunderstandings. We develop our method Rational Speech Acts for Cross-Cultural Communication (RSA+C3) to resolve cross-cultural differences in common ground. To measure the success of our method, we study RSA+C3 in the collaborative referential game of Codenames Duet and show that our method successfully improves collaboration between simulated players of different cultures. Our contributions are threefold: (1) creating Codenames players using contrastive learning of an embedding space and LLM prompting that are aligned with human patterns of play, (2) studying culturally induced differences in common ground reflected in our trained models, and (3) demonstrating that our method RSA+C3 can ease cross-cultural communication in gameplay by inferring sociocultural context from interaction.- Anthology ID:
- 2024.findings-emnlp.711
- Volume:
- Findings of the Association for Computational Linguistics: EMNLP 2024
- Month:
- November
- Year:
- 2024
- Address:
- Miami, Florida, USA
- Editors:
- Yaser Al-Onaizan, Mohit Bansal, Yun-Nung Chen
- Venue:
- Findings
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 12201–12216
- Language:
- URL:
- https://preview.aclanthology.org/icon-24-ingestion/2024.findings-emnlp.711/
- DOI:
- 10.18653/v1/2024.findings-emnlp.711
- Cite (ACL):
- Isadora White, Sashrika Pandey, and Michelle Pan. 2024. Communicate to Play: Pragmatic Reasoning for Efficient Cross-Cultural Communication. In Findings of the Association for Computational Linguistics: EMNLP 2024, pages 12201–12216, Miami, Florida, USA. Association for Computational Linguistics.
- Cite (Informal):
- Communicate to Play: Pragmatic Reasoning for Efficient Cross-Cultural Communication (White et al., Findings 2024)
- PDF:
- https://preview.aclanthology.org/icon-24-ingestion/2024.findings-emnlp.711.pdf