SemNovel – A new approach to detecting semantic novelty of biomedical publications using embeddings of large language models
- DOI
- 10.1016/j.jbi.2025.104952
- Published
- 2025-12
- Container
- Journal of Biomedical Informatics
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.jbi.2025.104952,
title = {SemNovel – A new approach to detecting semantic novelty of biomedical publications using embeddings of large language models},
author = {Xueqing Peng and Yutong Xie and Huan He and Brian Ondov and Kalpana Raja and Qijia Liu and Qiaozhu Mei and Hua Xu},
year = {2025},
journal = {Journal of Biomedical Informatics},
doi = {10.1016/j.jbi.2025.104952},
url = {https://doi.org/10.1016/j.jbi.2025.104952}
}RIS
TY - JOUR TI - SemNovel – A new approach to detecting semantic novelty of biomedical publications using embeddings of large language models AU - Xueqing Peng AU - Yutong Xie AU - Huan He AU - Brian Ondov AU - Kalpana Raja AU - Qijia Liu AU - Qiaozhu Mei AU - Hua Xu PY - 2025 JO - Journal of Biomedical Informatics DO - 10.1016/j.jbi.2025.104952 UR - https://doi.org/10.1016/j.jbi.2025.104952 ER -
APA
Peng, X., Xie, Y., He, H., Ondov, B., Raja, K., Liu, Q., Mei, Q., & Xu, H. (2025). SemNovel – A new approach to detecting semantic novelty of biomedical publications using embeddings of large language models. Journal of Biomedical Informatics. https://doi.org/10.1016/j.jbi.2025.104952
Source records
- crossref · retrieved 2026-09-25T20:28:46.054Z