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Found 3 papers, 1 papers with code
Classifying Arabic Crisis Tweets using Data Selection and Pre-trained Language Models
User-generated Social Media (SM) content has been explored as a valuable and accessible source of data about crises to enhance situational awareness and support humanitarian response efforts.
Kawarith: an Arabic Twitter Corpus for Crisis Events
Exploration of this content revealed the most discussed topics and information types, and the paper presents a labelled dataset from seven emergency events that serves as a gold standard for several tasks in crisis informatics research.
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