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Found 6 papers, 1 papers with code
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.
mattica@SMM4H’22: Leveraging sentiment for stance & premise joint learning
This paper describes our submissions to the Social Media Mining for Health Applications (SMM4H) shared task 2022.
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.
Parallel sequence tagging for concept recognition
In all 20 annotation sets of the concept-annotation task, our system outperforms the pipeline system reported as a baseline in the CRAFT shared task 2019.
UZH@CRAFT-ST: a Sequence-labeling Approach to Concept Recognition
As our submission to the CRAFT shared task 2019, we present two neural approaches to concept recognition.
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.
