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Proceedings of the 28th International Conference on Computational Linguistics
We release an urgency dataset that consists of English tweets relating to natural crises. The set is annotated along with annotations of their corresponding urgency status. Additionally, we release evaluation datasets for two low-resource languages, i.e. Sinhala and Odia, and demonstrate an effective zero-shot transfer from English to these two languages by training cross-lingual classifiers. We adopt cross-lingual embeddings constructed using different methods to extract features of thedoi:10.18653/v1/2020.coling-main.414 fatcat:vj63dqacz5czrjkryojkysqepe