CultureMINE: Datasets and Methods for Improving the Cultural Capabilities of NLP Systems

2026-09-18

AI Summary

为提升NLP系统的文化能力，分析了375篇论文以了解目标文化能力、数据资源创建方式及改进方法，并发布了一个互动网络界面来促进该领域的研究。

Abstract

In recent years, there has been a surge of interest in Cultural NLP, with substantial efforts to create globally inclusive NLP systems. The rapid growth of literature in this field makes it difficult to track trends in methods and data resources. To address this, we analyze over 375 papers to answer three complementary questions: (1) What Cultural Capabilities (CCs) are being targeted in NLP systems? (2) How are cultural data resources being created? and (3) What methods are being used to improve the CCs of those systems? We discuss trends observed across the three questions, and identify relevant research gaps. To facilitate further research in this field, we release our full list of analyzed papers in the form of an interactive web interface, which includes a feature to allow researchers to add their work; we hope this facilitates future research and proves to be a valuable resource for the Cultural NLP community.

Problem

• Cultural NLP
• data resources
• trends

Innovation

• Cultural NLP
• Interactive Web Interface
• Cultural Capabilities