Extracting COVID 19 Events from Twitter
We present a corpus of 7,500 tweets annotated with COVID 19 events, including positive test results, denied access to testing, and more. We show that our corpus enables automatic identification of COVID 19 events mentioned in Twitter with text spans that fill a set of pre defined slots for each event. We also present analyses on the self reporting cases and user's demographic information. We will make our annotated corpus and extraction tools available for the research community to use upon publication at this https URL
ArXiv