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Found 7 papers, 0 papers with code
COVID-19 Twitter Monitor: Aggregating and Visualizing COVID-19 Related Trends in Social Media
Social media platforms offer extensive information about the development of the COVID-19 pandemic and the current state of public health.
Approaching SMM4H with auto-regressive language models and back-translation
We describe our submissions to the 6th edition of the Social Media Mining for Health Applications (SMM4H) shared task.
Approaching SMM4H with Merged Models and Multi-task Learning
We describe our submissions to the 4th edition of the Social Media Mining for Health Applications (SMM4H) shared task.
UZH@SMM4H: System Descriptions
Our team at the University of Z{\"u}rich participated in the first 3 of the 4 sub-tasks at the Social Media Mining for Health Applications (SMM4H) shared task.
The PsyMine Corpus - A Corpus annotated with Psychiatric Disorders and their Etiological Factors
We present the first version of a corpus annotated for psychiatric disorders and their etiological factors.
Using Large Biomedical Databases as Gold Annotations for Automatic Relation Extraction
We show how to use large biomedical databases in order to obtain a gold standard for training a machine learning system over a corpus of biomedical text.
