A systematic evaluation and benchmarking of text summarization methods for biomedical literature: From word-frequency methods to language models.
- DOI
- 10.64898/2026.01.09.697335
- Published
- 2026 Jul 16
- Container
- bioRxiv : the preprint server for biology
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.64898/2026.01.09.697335,
title = {A systematic evaluation and benchmarking of text summarization methods for biomedical literature: From word-frequency methods to language models.},
author = {Baumgärtel F and Bono E and Fillinger L and Galou L and Keska-Izworska K and Walter SM and Andorfer P and Kratochwill K and Perco P and Ley M},
year = {2026},
journal = {bioRxiv : the preprint server for biology},
doi = {10.64898/2026.01.09.697335},
url = {https://doi.org/10.64898/2026.01.09.697335}
}RIS
TY - JOUR TI - A systematic evaluation and benchmarking of text summarization methods for biomedical literature: From word-frequency methods to language models. AU - Baumgärtel F AU - Bono E AU - Fillinger L AU - Galou L AU - Keska-Izworska K AU - Walter SM AU - Andorfer P AU - Kratochwill K AU - Perco P AU - Ley M PY - 2026 JO - bioRxiv : the preprint server for biology DO - 10.64898/2026.01.09.697335 UR - https://doi.org/10.64898/2026.01.09.697335 ER -
APA
F, B., E, B., L, F., L, G., K, K., SM, W., P, A., K, K., P, P., & M, L. (2026). A systematic evaluation and benchmarking of text summarization methods for biomedical literature: From word-frequency methods to language models.. bioRxiv : the preprint server for biology. https://doi.org/10.64898/2026.01.09.697335
Source records
- pubmed · retrieved 2026-09-26T15:09:43.837Z