Few-shot learning for medical text: A systematic review
Objective: Few-shot learning (FSL) methods require small numbers of labeled instances for
training. As many medical topics have limited annotated textual data in practical settings …
training. As many medical topics have limited annotated textual data in practical settings …
Predicting demands of COVID-19 prevention and control materials via co-evolutionary transfer learning
Q Song, YJ Zheng, J Yang, YJ Huang… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
The novel coronavirus pneumonia (COVID-19) has created great demands for medical
resources. Determining these demands timely and accurately is critically important for the …
resources. Determining these demands timely and accurately is critically important for the …
Measuring geographic performance disparities of offensive language classifiers
Text classifiers are applied at scale in the form of one-size-fits-all solutions. Nevertheless,
many studies show that classifiers are biased regarding different languages and dialects …
many studies show that classifiers are biased regarding different languages and dialects …
COVID-19-related Nepali tweets classification in a low resource setting
Billions of people across the globe have been using social media platforms in their local
languages to voice their opinions about the various topics related to the COVID-19 …
languages to voice their opinions about the various topics related to the COVID-19 …
When Infodemic Meets Epidemic: a Systematic Literature Review
Epidemics and outbreaks present arduous challenges requiring both individual and
communal efforts. Social media offer significant amounts of data that can be leveraged for …
communal efforts. Social media offer significant amounts of data that can be leveraged for …
[PDF][PDF] Few-shot learning for medical text: A systematic
Objective Few-shot learning (FSL) methods require small numbers of labeled instances for
training. As many medical topics have limited annotated textual data in practical settings …
training. As many medical topics have limited annotated textual data in practical settings …