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Found 7 papers, 1 papers with code
Annotating the Pandemic: Named Entity Recognition and Normalisation in COVID-19 Literature
In our approach, we are using a dictionary-based system for its high recall in conjunction with two models based on BioBERT for their accuracy.
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.
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.
Crowdsourcing an OCR Gold Standard for a German and French Heritage Corpus
Crowdsourcing approaches for post-correction of OCR output (Optical Character Recognition) have been successfully applied to several historic text collections.
Optical Character Recognition
Optical Character Recognition (OCR)
