Natural language processing for automatic evaluation of free-text answers — a feasibility study based on the European Diploma in Radiology examination

Fabian Stoehr, Benedikt Kämpgen, Lukas Müller, Laura Oleaga Zufiría, Vanesa Junquero, Cristina Merino, Peter Mildenberger, Roman Kloeckner

Open source

DOI
10.1186/s13244-023-01507-5
Published
2023-09-19
Container
Insights into Imaging
Publisher
Springer Science and Business Media LLC
Open access
unknown

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BibTeX

@article{allodium:10.1186/s13244-023-01507-5,
  title = {Natural language processing for automatic evaluation of free-text answers — a feasibility study based on the European Diploma in Radiology examination},
  author = {Fabian Stoehr and Benedikt Kämpgen and Lukas Müller and Laura Oleaga Zufiría and Vanesa Junquero and Cristina Merino and Peter Mildenberger and Roman Kloeckner},
  year = {2023},
  journal = {Insights into Imaging},
  doi = {10.1186/s13244-023-01507-5},
  url = {https://doi.org/10.1186/s13244-023-01507-5}
}

RIS

TY  - JOUR
TI  - Natural language processing for automatic evaluation of free-text answers — a feasibility study based on the European Diploma in Radiology examination
AU  - Fabian Stoehr
AU  - Benedikt Kämpgen
AU  - Lukas Müller
AU  - Laura Oleaga Zufiría
AU  - Vanesa Junquero
AU  - Cristina Merino
AU  - Peter Mildenberger
AU  - Roman Kloeckner
PY  - 2023
JO  - Insights into Imaging
DO  - 10.1186/s13244-023-01507-5
UR  - https://doi.org/10.1186/s13244-023-01507-5
ER  - 

APA

Stoehr, F., Kämpgen, B., Müller, L., Zufiría, L. O., Junquero, V., Merino, C., Mildenberger, P., & Kloeckner, R. (2023). Natural language processing for automatic evaluation of free-text answers — a feasibility study based on the European Diploma in Radiology examination. Insights into Imaging. https://doi.org/10.1186/s13244-023-01507-5

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