Extracting COVID-19 Events from Twitter
2 papers with code • 1 benchmarks • 1 datasets
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Most implemented papers
Extracting a Knowledge Base of COVID-19 Events from Social Media
In this paper, we present a manually annotated corpus of 10, 000 tweets containing public reports of five COVID-19 events, including positive and negative tests, deaths, denied access to testing, claimed cures and preventions.
Leveraging Event Specific and Chunk Span features to Extract COVID Events from tweets
Twitter has acted as an important source of information during disasters and pandemic, especially during the times of COVID-19.