Mining Cross-Cultural Differences and Similarities in Social Media

Bill Yuchen Lin, Frank F. Xu, Kenny Zhu, Seung-won Hwang
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
more » ... ate it on two novel tasks: 1) mining cross-cultural differences of named entities and 2) finding similar terms for slang across languages. Experimental results show that our framework substantially outperforms a number of baseline methods on both tasks. The framework could be useful for machine translation applications and research in computational social science.
doi:10.18653/v1/p18-1066 dblp:conf/acl/HwangZLX18 fatcat:vpllnkwulvcqphj32bldn344ny