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pruas/BENT-PubMEdBERT-NER-Variant
BENT-PubMEdBERT-NER-Variant 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. The card lists the license as apache-2.0.
Named Entity Recognition (NER) model to recognize variant entities. Here variant entity is a DNA-level or protein-level mutation as defined by the Human Genome Variation Society nomenclature.
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From the Hugging Face model README
Named Entity Recognition (NER) model to recognize variant entities. Here variant entity is a DNA-level or protein-level mutation as defined by the Human Genome Variation Society nomenclature.
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: