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COVID-19 Surveillance through Twitter using Self-Supervised and Few Shot Learning
Public health surveillance and tracking virus via social media can be a useful digital tool for contact tracing and preventing the spread of the virus.
Measuring Geographic Performance Disparities of Offensive Language Classifiers
Likewise, we show that while offensive language models produce false positives on African American English, model performance is not correlated with each city's minority population proportions.
An Empirical Study of the Downstream Reliability of Pre-Trained Word Embeddings
While pre-trained word embeddings have been shown to improve the performance of downstream tasks, many questions remain regarding their reliability: Do the same pre-trained word embeddings result in the best performance with slight changes to the training data?
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