---
title: "Cultural Commonsense Knowledge for Intercultural Dialogues"
description: "The authors present Mango, a pipeline that distills explicit cultural commonsense knowledge (CCSK)… 46 references, cited by 14 papers here."
authors: ["Tuan-Phong Nguyen", "Simon Razniewski", "Gerhard Weikum"]
year: 2024
venue: "arXiv:2402.10689"
source: "https://arxiv.org/abs/2402.10689"
doi: "10.1145/3627673.3679768"
arxiv: "2402.10689"
licence: "CC BY 4.0 (arXiv)"
licence_url: "http://creativecommons.org/licenses/by/4.0/"
summary_licence: "Elamur Cosmic License"
canonical: "https://research.elamur.ai/free/en/papers/nguyen-2024-cultural-commonsense-knowledge-intercultural-dialogues/"
---
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# Cultural Commonsense Knowledge for Intercultural Dialogues

**Authors:** Tuan-Phong Nguyen, Simon Razniewski and [Gerhard Weikum](https://md.research.elamur.ai/free/en/authors/gerhard-weikum/) · **Year:** 2024 · **Venue:** [arXiv:2402.10689](https://md.research.elamur.ai/free/en/venues/acm-international-conference-on-information-and-knowledge-management-cikm/) ([CIKM 2024](https://md.research.elamur.ai/free/en/venues/acm-international-conference-on-information-and-knowledge-management-cikm/2024/)) · **Licence:** [CC BY 4.0 (arXiv)](http://creativecommons.org/licenses/by/4.0/)

**Links:** [Publisher's page](https://doi.org/10.1145/3627673.3679768) · [PDF](https://arxiv.org/pdf/2402.10689) · [DOI 10.1145/3627673.3679768](https://doi.org/10.1145/3627673.3679768) · [arXiv 2402.10689](https://arxiv.org/abs/2402.10689) · [OpenAlex](https://openalex.org/W4403582683)

**Citations:** 4 citations (OpenAlex, 2026-10-14) · [14](https://md.research.elamur.ai/free/en/papers/nguyen-2024-cultural-commonsense-knowledge-intercultural-dialogues/cited-by/) in our library, of the 149,439 papers whose bibliographies we read

## Summary
LLMs still struggle with the subtleties of social and cultural norms. Earlier cultural knowledge bases, the largest being Candle with about 60K assertions mined from web sentences, cover too few concepts and cultural groups. The authors present Mango, a pipeline that distills explicit cultural commonsense knowledge (CCSK) from an LLM instead of from crawled text. Each assertion is a triple: a concept, a cultural group, and a natural-language statement.

Mango works in two phases:
- **Generation:** GPT-3.5 receives few-shot prompts with contrastive examples, starting either from a concept (seeded from ConceptNet and Candle) or from a culture. New concepts and cultures found in one direction feed the other.
- **Consolidation:** the candidates are grouped into clusters by concept and culture. The LLM then writes one summary statement per cluster, which reduces redundancy and yields frequency-based ranking signals.

Human judges rated the result as clearly larger and more accurate than prior resources. When Mango assertions were included in dialogue prompts, the responses gained in specificity and cultural sensitivity and were judged higher in overall quality. This shows that explicit, inspectable knowledge adds value even to strong LLMs.

## Key points
- Final resource: 167K CCSK assertions covering roughly 30K concepts and 11K cultures, built with GPT-3.5. Data and code are released at https://mango.mpi-inf.mpg.de.
- Consolidation compressed a raw pool of more than 500K generated assertions into cluster-level representative statements. Cluster sizes serve as frequency signals.
- Cultures are not limited to countries and may include demographic or social subgroups. The paper's examples include Korean female teenagers.
- Extrinsic test: GPT-3.5 generated intercultural dialogue responses with and without injected CCSK. MTurk annotators compared them on natural flow, consistency, specificity, cultural sensitivity and overall quality.
- Acknowledged limitations: generated assertions cannot be traced to a source, there is a risk of reinforcing stereotypes, and the annotator pool is mostly from the USA and India. The authors advise against production use without careful evaluation.

*Our summary of the paper, in our own words — not its text. The work belongs to its authors; read it at the links above.*

## Institutions

- [Max Planck Institute for Informatics](https://md.research.elamur.ai/free/en/labs/max-planck-institute-for-informatics/) — Research institute, Saarbrücken, Germany · 16 works · 4,453 citations
- [Technische Universität Dresden](https://md.research.elamur.ai/free/en/universities/technische-universitat-dresden/) — University, Dresden, Germany · 13 works · 7,336 citations
- [Center for Scalable Data Analytics and Artificial Intelligence](https://md.research.elamur.ai/free/en/universities/center-for-scalable-data-analytics-and-artificial-intelligence/) — University, Dresden, Germany · 10 works · 77 citations

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## Cite

Cite as: Tuan-Phong Nguyen, Simon Razniewski and Gerhard Weikum. 2024. Cultural Commonsense Knowledge for Intercultural Dialogues. arXiv:2402.10689.

The paper itself, not this page. BibTeX from the library's record of the work.

```bibtex
@misc{nguyen2024cultural,
  title = {{Cultural Commonsense Knowledge for Intercultural Dialogues}},
  author = {Tuan-Phong Nguyen, Simon Razniewski and Gerhard Weikum},
  year = {2024},
  doi = {10.1145/3627673.3679768},
  eprint = {2402.10689},
  archivePrefix = {arXiv},
  url = {https://doi.org/10.1145/3627673.3679768}
}
```

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*Updated 30 October 2026*