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BENT-PubMedBERT-NER-Cell-Line
pruas/BENT-PubMedBERT-NER-Cell-Line
BENT-PubMedBERT-NER-Cell-Line is a token classification model from pruas. Use it when you need labels on individual words, such as names. It is set up for transformers.
Named Entity Recognition (NER) model to recognize cell line entities.
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.pt871 MB · 67%
At a glance
- Task
- Token Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Jan 14, 2023
- Updated
- Mar 2, 2024
- SHA
- 136430bb
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Model card
From the Hugging Face model README
Named Entity Recognition (NER) model to recognize cell line entities.
Please cite our work:
@article{NILNKER2022,
title = {NILINKER: Attention-based approach to NIL Entity Linking},
journal = {Journal of Biomedical Informatics},
volume = {132},
pages = {104137},
year = {2022},
issn = {1532-0464},
doi = {https://doi.org/10.1016/j.jbi.2022.104137},
url = {https://www.sciencedirect.com/science/article/pii/S1532046422001526},
author = {Pedro Ruas and Francisco M. Couto},
}
PubMedBERT fine-tuned on the following datasets:
- CellFinder: entity type "CellLine"
- JNLPBA: entity type "cell_line"
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- Languages
- en
- Created
- Jan 14, 2023
- Updated
- Mar 2, 2024