Extracting COVID-19 Events from Twitter
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Benchmarks
W-NUT 2020 Shared Task-3
Most implemented
Extracting a Knowledge Base of COVID-19 Events from Social Media
Papers
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. In this paper, we describe our system entry for WNUT 2020 Shared Task-3. The task was aimed …
Extracting COVID-19 Events from TwitterSentenceslot-fillingTEST_POSITIVE at W-NUT 2020 Shared Task-3: Cross-task modeling
The competition of extracting COVID-19 events from Twitter is to develop systems that can automatically extract related events from tweets. The built system should identify different pre-defined slots for each event, in …
Extracting COVID-19 Events from TwitterLanguage ModelingLanguage ModellingMulti-Task Learning+4TEST_POSITIVE at W-NUT 2020 Shared Task-3: Joint Event Multi-task Learning for Slot Filling in Noisy Text
The competition of extracting COVID-19 events from Twitter is to develop systems that can automatically extract related events from tweets. The built system should identify different pre-defined slots for each event, in …
Extracting COVID-19 Events from TwitterLanguage ModelingLanguage ModellingMulti-Task Learning+6Extracting 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 prevent…
Extracting COVID-19 Events from Twitterslot-fillingSlot Filling