Twitter2015-Urdu
收藏IEEE2026-04-17 收录
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https://ieee-dataport.org/documents/twitter2015-urdu
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资源简介：
The Twitter2015-Urdu Dataset is a multimodal resource designed to advance Multimodal Named Entity Recognition (MNER) research in Urdu, a low-resource language. It adapts the widely used Twitter2015 English dataset with culturally grounded annotations tailored to Urdu's unique linguistic complexities. Featuring a balanced split across training, validation, and test sets, this dataset addresses the limitations of existing resources like CRULP, UCREL, and WikiDiverse, making it a critical tool for advancing Urdu-specific MNER research and multimodal applications.
提供机构：
Ahmad, Hussain
