BioReadNet: A Transformer-Driven Hybrid Model for Target Audience-Aware Biomedical Text Readability Assessment
- DOI
- 10.1145/3704268.3742703
- Published
- 2025-08-27
- Container
- Proceedings of the 2025 ACM Symposium on Document Engineering
- Publisher
- ACM
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1145/3704268.3742703,
title = {BioReadNet: A Transformer-Driven Hybrid Model for Target Audience-Aware Biomedical Text Readability Assessment},
author = {Anya Amel Nait Djoudi and Patrice Bellot and Adrian-Gabriel Chifu},
year = {2025},
journal = {Proceedings of the 2025 ACM Symposium on Document Engineering},
doi = {10.1145/3704268.3742703},
url = {https://doi.org/10.1145/3704268.3742703}
}RIS
TY - JOUR TI - BioReadNet: A Transformer-Driven Hybrid Model for Target Audience-Aware Biomedical Text Readability Assessment AU - Anya Amel Nait Djoudi AU - Patrice Bellot AU - Adrian-Gabriel Chifu PY - 2025 JO - Proceedings of the 2025 ACM Symposium on Document Engineering DO - 10.1145/3704268.3742703 UR - https://doi.org/10.1145/3704268.3742703 ER -
APA
Djoudi, A. A. N., Bellot, P., & Chifu, A. (2025). BioReadNet: A Transformer-Driven Hybrid Model for Target Audience-Aware Biomedical Text Readability Assessment. Proceedings of the 2025 ACM Symposium on Document Engineering. https://doi.org/10.1145/3704268.3742703
Source records
- crossref · retrieved 2026-09-25T23:43:07.723Z