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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.
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.
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.
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.
