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RoBERTa_for_seizureFrequency_QA
CNT-UPenn/RoBERTa_for_seizureFrequency_QA
RoBERTa_for_seizureFrequency_QA is a question answering model from CNT-UPenn. Use it when the input is a question plus a passage. It is set up for transformers.
RoBERTa-base with additional training through the finetuning pipeline described in "Extracting Seizure Frequency From Epilepsy Clinic Notes: A Machine Reading Approach To Natural Language Processing."
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At a glance
- Task
- Question Answering
- Library
- transformers
- Model type
- roberta
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Mar 2, 2022
- SHA
- 2d3c49cf
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Model card
From the Hugging Face model README
RoBERTa-base with additional training through the finetuning pipeline described in "Extracting Seizure Frequency From Epilepsy Clinic Notes: A Machine Reading Approach To Natural Language Processing."
Citation: Kevin Xie, Ryan S Gallagher, Erin C Conrad, Chadric O Garrick, Steven N Baldassano, John M Bernabei, Peter D Galer, Nina J Ghosn, Adam S Greenblatt, Tara Jennings, Alana Kornspun, Catherine V Kulick-Soper, Jal M Panchal, Akash R Pattnaik, Brittany H Scheid, Danmeng Wei, Micah Weitzman, Ramya Muthukrishnan, Joongwon Kim, Brian Litt, Colin A Ellis, Dan Roth, Extracting seizure frequency from epilepsy clinic notes: a machine reading approach to natural language processing, Journal of the American Medical Informatics Association, 2022;, ocac018, https://doi.org/10.1093/jamia/ocac018
RoBERTa_for_seizureFrequency_QA performs extractive question answering to identify a patient's seizure freedom and/or date of last seizure using the HPI and/or Interval History paragraphs from a medical note.
- Task
- Question Answering
- Library
- transformers
- Type
- roberta
- Created
- Mar 2, 2022
- Updated
- Mar 2, 2022