Equipment
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EasyNER: A Customizable Easy-to-Use Pipeline for Deep Learning- and Dictionary-based Named Entity Recognition from Medical Text
Rafsan Ahmed, Petter Berntsson, Alexander Skafte, Salma Kazemi Rashed, Marcus Klang, Adam Barvesten, Ola Olde, William Lindholm, Antton Lamarca Arrizabalaga, Pierre Nugues, Sonja Aits
- Cell Death, Lysosomes and Artificial Intelligence
- LU Profile Area: Natural and Artificial Cognition
- Robotics and Semantic Systems
- Department of Automatic Control
- ELLIIT: the Linköping-Lund initiative on IT and mobile communication
- eSSENCE: The e-Science Collaboration
- Department of Computer Science
- Artificial Intelligence in CardioThoracic Sciences (AICTS)
- LTH Profile Area: Engineering Health
- EpiHealth: Epidemiology for Health
- LTH Profile Area: AI and Digitalization
- LUCC: Lund University Cancer Centre
Research output: Working paper/Preprint › Preprint (in preprint archive)