Towards automatic identification of self-reported COVID-19 tweets: Introducing a multilingual manually annotated dataset, baseline systems and exploratory evaluations
Author:
Affiliation:
1. Georgia State University,Department of Computer Science,Atlanta,GA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10385234/10386078/10386536.pdf?arnumber=10386536
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3. Using weak supervision to generate training datasets from social media data: a proof of concept to identify drug mentions
4. TwiMed: Twitter and PubMed Comparable Corpus of Drugs, Diseases, Symptoms, and Their Relations
5. Fake or real news about COVID-19? Pretrained transformer model to detect potential misleading news
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