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Mining Cross-Cultural Differences and Similarities in Social Media
2018
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Cross-cultural differences and similarities are common in cross-lingual natural language understanding, especially for research in social media. For instance, people of distinct cultures often hold different opinions on a single named entity. Also, understanding slang terms across languages requires knowledge of cross-cultural similarities. In this paper, we study the problem of computing such cross-cultural differences and similarities. We present a lightweight yet effective approach, and
doi:10.18653/v1/p18-1066
dblp:conf/acl/HwangZLX18
fatcat:vpllnkwulvcqphj32bldn344ny