natural-language-processing-9
Extracting COVID-19 Events from Twitter
3260 papers • 126 benchmarks • 313 datasets
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W-NUT 2020 Shared Task-3
W-NUT 2020 Shared Task-3
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Most implemented papers
Extracting a Knowledge Base of COVID-19 Events from Social Media
Alan Ritter, Wei Xu, Shi Zong, Ashutosh Baheti•Tue Jun 02 2020
A manually annotated corpus of 10,000 tweets containing public reports of five COVID-19 events is presented, showing that the corpus can support fine-tuning BERT-based classifiers to automatically extract publicly reported events, which can be further collected for building a knowledge base.
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