NORMSAGE: Multi-Lingual Multi-Cultural Norm Discovery from Conversations On-the-Fly Article Swipe
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· 2023
· Open Access
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· DOI: https://doi.org/10.18653/v1/2023.emnlp-main.941
· OA: W4389524456
Knowledge of norms is needed to understand and reason about acceptable behavior in human communication and interactions across sociocultural scenarios. Most computational research on norms has focused on a single culture, and manually built datasets, from non-conversational settings. We address these limitations by proposing a new framework, NORMSAGE<sup>1</sup>, to automatically extract culture-specific norms from multi-lingual conversations. NORMSAGE uses GPT-3 prompting to 1) extract candidate norms directly from conversations and 2) provide explainable self-verification to ensure correctness and relevance. Comprehensive empirical results show the promise of our approach to extract high-quality culture-aware norms from multi-lingual conversations (English and Chinese), across several quality metrics. Further, our relevance verification can be extended to assess the adherence and violation of any norm with respect to a conversation on-the-fly, along with textual explanation. NORMSAGE achieves an AUC of 94.6% in this grounding setup, with generated explanations matching human-written quality.
